Frank Nielsen

Orcid: 0000-0001-5728-0726

Affiliations:
  • Sony Computer Science Laboratories, Tokyo, Japan


According to our database1, Frank Nielsen authored at least 279 papers between 1996 and 2024.

Collaborative distances:

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Bibliography

2024
Divergences Induced by the Cumulant and Partition Functions of Exponential Families and Their Deformations Induced by Comparative Convexity.
Entropy, March, 2024

On the f-divergences between densities of a multivariate location or scale family.
Stat. Comput., February, 2024

What is an inductive mean?
CoRR, 2024

Fast proxy centers for Jeffreys centroids: The Jeffreys-Fisher-Rao and the inductive Gauss-Bregman centers.
CoRR, 2024

Adaptive <i>k</i>-nearest neighbor classifier based on the local estimation of the shape operator.
CoRR, 2024

Symplectic Bregman divergences.
CoRR, 2024

pyBregMan: A Python library for Bregman Manifolds.
CoRR, 2024

Approximation and bounding techniques for the Fisher-Rao distances.
CoRR, 2024

Tempered Calculus for ML: Application to Hyperbolic Model Embedding.
CoRR, 2024

A Rate-Distortion View of Uncertainty Quantification.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Optimal Transport with Tempered Exponential Measures.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
On f-Divergences Between Cauchy Distributions.
IEEE Trans. Inf. Theory, May, 2023

A Simple Approximation Method for the Fisher-Rao Distance between Multivariate Normal Distributions.
Entropy, April, 2023

Divergences induced by dual subtractive and divisive normalizations of exponential families and their convex deformations.
CoRR, 2023

The Tempered Hilbert Simplex Distance and Its Application To Non-linear Embeddings of TEMs.
CoRR, 2023

Fisher-Rao distance and pullback SPD cone distances between multivariate normal distributions.
CoRR, 2023

Product Jacobi-Theta Boltzmann machines with score matching.
CoRR, 2023

Simplifying Momentum-based Riemannian Submanifold Optimization.
CoRR, 2023

A numerical approximation method for the Fisher-Rao distance between multivariate normal distributions.
CoRR, 2023

Partial k-means to avoid outliers, mathematical programming formulations, complexity results.
CoRR, 2023

Beyond scalar quasi-arithmetic means: Quasi-arithmetic averages and quasi-arithmetic mixtures in information geometry.
CoRR, 2023

Non-linear Embeddings in Hilbert Simplex Geometry.
Proceedings of the Topological, 2023

Fisher-Rao and pullback Hilbert cone distances on the multivariate Gaussian manifold with applications to simplification and quantization of mixtures.
Proceedings of the Topological, 2023

Partial K-Means with M Outliers: Mathematical Programs and Complexity Results.
Proceedings of the Optimization and Learning - 6th International Conference, 2023

Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning.
Proceedings of the International Conference on Machine Learning, 2023

On the f-Divergences Between Hyperboloid and Poincaré Distributions.
Proceedings of the Geometric Science of Information - 6th International Conference, 2023

Quasi-arithmetic Centers, Quasi-arithmetic Mixtures, and the Jensen-Shannon $\nabla $-Divergences.
Proceedings of the Geometric Science of Information - 6th International Conference, 2023

2022
Revisiting Chernoff Information with Likelihood Ratio Exponential Families.
Entropy, 2022

Statistical Divergences between Densities of Truncated Exponential Families with Nested Supports: Duo Bregman and Duo Jensen Divergences.
Entropy, 2022

Rho-Tau Bregman Information and the Geometry of Annealing Paths.
CoRR, 2022

On the Influence of Enforcing Model Identifiability on Learning dynamics of Gaussian Mixture Models.
CoRR, 2022

Information geometry of the Tojo-Yoshino's exponential family on the Poincaré upper plane.
CoRR, 2022

A note on the f-divergences between multivariate location-scale families with either prescribed scale matrices or location parameters.
CoRR, 2022

The duo Fenchel-Young divergence.
CoRR, 2022

Generalizing the Alpha-Divergences and the Oriented Kullback-Leibler Divergences with Quasi-Arithmetic Means.
Algorithms, 2022

2021
q-Neurons: Neuron Activations Based on Stochastic Jackson's Derivative Operators.
IEEE Trans. Neural Networks Learn. Syst., 2021

Fast Approximations of the Jeffreys Divergence between Univariate Gaussian Mixtures via Mixture Conversions to Exponential-Polynomial Distributions.
Entropy, 2021

On a Variational Definition for the Jensen-Shannon Symmetrization of Distances Based on the Information Radius.
Entropy, 2021

Towards Modeling and Resolving Singular Parameter Spaces using Stratifolds.
CoRR, 2021

On the Kullback-Leibler divergence between discrete normal distributions.
CoRR, 2021

Structured second-order methods via natural gradient descent.
CoRR, 2021

Fast approximations of the Jeffreys divergence between univariate Gaussian mixture models via exponential polynomial densities.
CoRR, 2021

The dually flat information geometry of the mixture family of two prescribed Cauchy components.
CoRR, 2021

A note on some information-theoretic divergences between Zeta distributions.
CoRR, 2021

On information projections between multivariate elliptical and location-scale families.
CoRR, 2021

q-Paths: Generalizing the geometric annealing path using power means.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Tractable structured natural-gradient descent using local parameterizations.
Proceedings of the 38th International Conference on Machine Learning, 2021

Computing Statistical Divergences with Sigma Points.
Proceedings of the Geometric Science of Information - 5th International Conference, 2021

cCorrGAN: Conditional Correlation GAN for Learning Empirical Conditional Distributions in the Elliptope.
Proceedings of the Geometric Science of Information - 5th International Conference, 2021

Classification in the Siegel Space for Vectorial Autoregressive Data.
Proceedings of the Geometric Science of Information - 5th International Conference, 2021

2020
Anticipation-RNN: enforcing unary constraints in sequence generation, with application to interactive music generation.
Neural Comput. Appl., 2020

An Elementary Introduction to Information Geometry.
Entropy, 2020

The Siegel-Klein Disk: Hilbert Geometry of the Siegel Disk Domain.
Entropy, 2020

On Voronoi Diagrams on the Information-Geometric Cauchy Manifolds.
Entropy, 2020

On a Generalization of the Jensen-Shannon Divergence and the Jensen-Shannon Centroid.
Entropy, 2020

Likelihood Ratio Exponential Families.
CoRR, 2020

Annealed Importance Sampling with q-Paths.
CoRR, 2020

On Voronoi diagrams and dual Delaunay complexes on the information-geometric Cauchy manifolds.
CoRR, 2020

Hilbert geometry of the Siegel disk: The Siegel-Klein disk model.
CoRR, 2020

A note on Onicescu's informational energy and correlation coefficient in exponential families.
CoRR, 2020

Cumulant-free closed-form formulas for some common (dis)similarities between densities of an exponential family.
CoRR, 2020

A generalization of the α-divergences based on comparable and distinct weighted means.
CoRR, 2020

Quasiconvex Jensen Divergences and Quasiconvex Bregman Divergences.
Proceedings of the Geometric Structures of Statistical Physics, Information Geometry, and Learning, 2020

Clustering a 2d Pareto Front: P-center Problems Are Solvable in Polynomial Time.
Proceedings of the Optimization and Learning - Third International Conference, 2020

2019
On the Jensen-Shannon Symmetrization of Distances Relying on Abstract Means.
Entropy, 2019

On a generalization of the Jensen-Shannon divergence.
CoRR, 2019

Information-Geometric Set Embeddings (IGSE): From Sets to Probability Distributions.
CoRR, 2019

On geodesic triangles with right angles in a dually flat space.
CoRR, 2019

A note on the quasiconvex Jensen divergences and the quasiconvex Bregman divergences derived thereof.
CoRR, 2019

Planar p-center problems are solvable in polynomial time when clustering a Pareto Front.
CoRR, 2019

Lightlike Neuromanifolds, Occam's Razor and Deep Learning.
CoRR, 2019

A closed-form formula for the Kullback-Leibler divergence between Cauchy distributions.
CoRR, 2019

On the Kullback-Leibler divergence between location-scale densities.
CoRR, 2019

On a generalization of the Jensen-Shannon divergence and the JS-symmetrization of distances relying on abstract means.
CoRR, 2019

On power chi expansions of f-divergences.
CoRR, 2019

K-Medoids Clustering Is Solvable in Polynomial Time for a 2d Pareto Front.
Proceedings of the Optimization of Complex Systems: Theory, 2019

Sinkhorn AutoEncoders.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

The Bregman Chord Divergence.
Proceedings of the Geometric Science of Information - 4th International Conference, 2019

The Statistical Minkowski Distances: Closed-Form Formula for Gaussian Mixture Models.
Proceedings of the Geometric Science of Information - 4th International Conference, 2019

Geometry and Fixed-Rate Quantization in Riemannian Metric Spaces Induced by Separable Bregman Divergences.
Proceedings of the Geometric Science of Information - 4th International Conference, 2019

2018
Computational Information Geometry for Binary Classification of High-Dimensional Random Tensors.
Entropy, 2018

On The Chain Rule Optimal Transport Distance.
CoRR, 2018

Geometry and clustering with metrics derived from separable Bregman divergences.
CoRR, 2018

Monte Carlo Information Geometry: The dually flat case.
CoRR, 2018

Guaranteed Deterministic Bounds on the total variation Distance between univariate mixtures.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

On the Geometry of Mixtures of Prescribed Distributions.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

The Chord Gap Divergence and a Generalization of the Bhattacharyya Distance.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

On the Angular Resolution Limit Uncertainty.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Generalizing Skew Jensen Divergences and Bregman Divergences With Comparative Convexity.
IEEE Signal Process. Lett., 2017

MaxEnt Upper Bounds for the Differential Entropy of Univariate Continuous Distributions.
IEEE Signal Process. Lett., 2017

On Hölder Projective Divergences.
Entropy, 2017

A generalization of the Jensen divergence: The chord gap divergence.
CoRR, 2017

Interactive Music Generation with Positional Constraints using Anticipation-RNNs.
CoRR, 2017

Deep rank-based transposition-invariant distances on musical sequences.
CoRR, 2017

On w-mixtures: Finite convex combinations of prescribed component distributions.
CoRR, 2017

Distribution-free Evolvability of Vector Spaces: All it takes is a Generating Set.
CoRR, 2017

Clustering in Hilbert simplex geometry.
CoRR, 2017

Generalizing Jensen and Bregman divergences with comparative convexity and the statistical Bhattacharyya distances with comparable means.
CoRR, 2017

GLSR-VAE: Geodesic latent space regularization for variational autoencoder architectures.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

DeepBach: a Steerable Model for Bach Chorales Generation.
Proceedings of the 34th International Conference on Machine Learning, 2017

Relative Fisher Information and Natural Gradient for Learning Large Modular Models.
Proceedings of the 34th International Conference on Machine Learning, 2017

Combinatorial bounds on the α-divergence of univariate mixture models.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Information geometry metric for random signal detection in large random sensing systems.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Bregman Divergences from Comparative Convexity.
Proceedings of the Geometric Science of Information - Third International Conference, 2017

k-Means Clustering with Hölder Divergences.
Proceedings of the Geometric Science of Information - Third International Conference, 2017

On the Error Exponent of a Random Tensor with Orthonormal Factor Matrices.
Proceedings of the Geometric Science of Information - Third International Conference, 2017

On Balls in a Hilbert Polygonal Geometry (Multimedia Contribution).
Proceedings of the 33rd International Symposium on Computational Geometry, 2017

Tsallis Regularized Optimal Transport and Ecological Inference.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Introduction to HPC with MPI for Data Science
Undergraduate Topics in Computer Science, Springer, ISBN: 978-3-319-21903-5, 2016

On Conformal Divergences and Their Population Minimizers.
IEEE Trans. Inf. Theory, 2016

Guaranteed Bounds on the Kullback-Leibler Divergence of Univariate Mixtures.
IEEE Signal Process. Lett., 2016

Guaranteed Bounds on Information-Theoretic Measures of Univariate Mixtures Using Piecewise Log-Sum-Exp Inequalities.
Entropy, 2016

Relative Natural Gradient for Learning Large Complex Models.
CoRR, 2016

Guaranteed bounds on the Kullback-Leibler divergence of univariate mixtures using piecewise log-sum-exp inequalities.
CoRR, 2016

A series of maximum entropy upper bounds of the differential entropy.
CoRR, 2016

Fast $(1+ε)$-approximation of the Löwner extremal matrices of high-dimensional symmetric matrices.
CoRR, 2016

Large Margin Nearest Neighbor Classification using Curved Mahalanobis Distances.
CoRR, 2016

Image and Information.
CoRR, 2016

Optimal transport vs. Fisher-Rao distance between copulas for clustering multivariate time series.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Patch Matching with Polynomial Exponential Families and Projective Divergences.
Proceedings of the Similarity Search and Applications - 9th International Conference, 2016

Quantifying the Invariance and Robustness of Permutation-Based Indexing Schemes.
Proceedings of the Similarity Search and Applications - 9th International Conference, 2016

Exploring and measuring non-linear correlations: Copulas, Lightspeed Transportation and Clustering.
Proceedings of the NIPS 2016 Time Series Workshop, 2016

Clustering Financial Time Series: How Long Is Enough?.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Loss factorization, weakly supervised learning and label noise robustness.
Proceedings of the 33nd International Conference on Machine Learning, 2016

k-variates++: more pluses in the k-means++.
Proceedings of the 33nd International Conference on Machine Learning, 2016

SSSC-AM: A unified framework for video co-segmentation by structured sparse subspace clustering with appearance and motion features.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Classification with mixtures of curved mahalanobis metrics.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Comix: Joint estimation and lightspeed comparison of mixture models.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Optimal copula transport for clustering multivariate time series.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Gentle Nearest Neighbors Boosting over Proper Scoring Rules.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Comment partitionner automatiquement des marches aléatoires ? Avec application à la finance quantitative.
CoRR, 2015

HCMapper: An interactive visualization tool to compare partition-based flat clustering extracted from pairs of dendrograms.
CoRR, 2015

A Proposal of a Methodological Framework with Experimental Guidelines to Investigate Clustering Stability on Financial Time Series.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Total Jensen divergences: Definition, properties and clustering.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Bag-of-Components: An Online Algorithm for Batch Learning of Mixture Models.
Proceedings of the Geometric Science of Information - Second International Conference, 2015

Online k-MLE for Mixture Modeling with Exponential Families.
Proceedings of the Geometric Science of Information - Second International Conference, 2015

Approximating Covering and Minimum Enclosing Balls in Hyperbolic Geometry.
Proceedings of the Geometric Science of Information - Second International Conference, 2015

Clustering Random Walk Time Series.
Proceedings of the Geometric Science of Information - Second International Conference, 2015

2014
Optimal Interval Clustering: Application to Bregman Clustering and Statistical Mixture Learning.
IEEE Signal Process. Lett., 2014

On the Chi Square and Higher-Order Chi Distances for Approximating $f$ -Divergences.
IEEE Signal Process. Lett., 2014

Generalized Bhattacharyya and Chernoff upper bounds on Bayes error using quasi-arithmetic means.
Pattern Recognit. Lett., 2014

On Clustering Histograms with <i>k</i>-Means by Using Mixed α-Divergences.
Entropy, 2014

Further results on the hyperbolic Voronoi diagrams.
CoRR, 2014

Further heuristics for $k$-means: The merge-and-split heuristic and the $(k, l)$-means.
CoRR, 2014

A note on the optimal scalar Bregman k-means clustering with an application to learning best statistical mixtures.
CoRR, 2014

Visualizing hyperbolic Voronoi diagrams.
Proceedings of the 30th Annual Symposium on Computational Geometry, 2014

2013
Jeffreys Centroids: A Closed-Form Expression for Positive Histograms and a Guaranteed Tight Approximation for Frequency Histograms.
IEEE Signal Process. Lett., 2013

An Information-Geometric Characterization of Chernoff Information.
IEEE Signal Process. Lett., 2013

Logging safely in public spaces using color PINs
CoRR, 2013

On the symmetrical Kullback-Leibler Jeffreys centroids
CoRR, 2013

Cramer-Rao Lower Bound and Information Geometry
CoRR, 2013

Total Jensen divergences: Definition, Properties and k-Means++ Clustering.
CoRR, 2013

On approximating the Riemannian 1-center.
Comput. Geom., 2013

Fast Learning of Gamma Mixture Models with k-MLE.
Proceedings of the Similarity-Based Pattern Recognition - Second International Workshop, 2013

Pattern Learning and Recognition on Statistical Manifolds: An Information-Geometric Review.
Proceedings of the Similarity-Based Pattern Recognition - Second International Workshop, 2013

Information-geometric lenses for multiple foci+contexts interfaces.
Proceedings of the SIGGRAPH Asia 2013, 2013

Perspective click-and-drag area selections in pictures.
Proceedings of the 13. IAPR International Conference on Machine Vision Applications, 2013

Non-linear book manifolds: learning from associations the dynamic geometry of digital libraries.
Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries, 2013

A New Implementation of k-MLE for Mixture Modeling of Wishart Distributions.
Proceedings of the Geometric Science of Information - First International Conference, 2013

Hypothesis Testing, Information Divergence and Computational Geometry.
Proceedings of the Geometric Science of Information - First International Conference, 2013

Consensus Region Merging for Image Segmentation.
Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013

2012
Shape Retrieval Using Hierarchical Total Bregman Soft Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Medians and means in Finsler geometry.
LMS J. Comput. Math., 2012

Leveraging k-NN for generic classification boosting.
Neurocomputing, 2012

Boosting k-NN for Categorization of Natural Scenes.
Int. J. Comput. Vis., 2012

The hyperbolic Voronoi diagram in arbitrary dimension
CoRR, 2012

Perspective dragging: quick area selection in photos.
Proceedings of the SIGGRAPH Asia 2012 Poster Proceedings, Singapore, Singapore, November 28, 2012

Boosting Nearest Neighbors for the Efficient Estimation of Posteriors.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Biomedical Images Classification by Universal Nearest Neighbours Classifier Using Posterior Probability.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

k-MLE for mixtures of generalized Gaussians.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Jensen divergence based SPD matrix means and applications.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Closed-form information-theoretic divergences for statistical mixtures.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Model centroids for the simplification of Kernel Density estimators.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

K-MLE: A fast algorithm for learning statistical mixture models.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Total Bregman Divergence and Its Applications to DTI Analysis.
IEEE Trans. Medical Imaging, 2011

The Burbea-Rao and Bhattacharyya Centroids.
IEEE Trans. Inf. Theory, 2011

Skew Jensen-Bregman Voronoi Diagrams.
Trans. Comput. Sci., 2011

A closed-form expression for the Sharma-Mittal entropy of exponential families
CoRR, 2011

On Rényi and Tsallis entropies and divergences for exponential families
CoRR, 2011

Chernoff information of exponential families
CoRR, 2011

On tracking portfolios with certainty equivalents on a generalization of Markowitz model: the Fool, the Wise and the Adaptive.
Proceedings of the 28th International Conference on Machine Learning, 2011

Non-flat clustering with alpha-divergences.
Proceedings of the IEEE International Conference on Acoustics, 2011

Video Stippling.
Proceedings of the Advances Concepts for Intelligent Vision Systems, 2011

2010
Simplification and hierarchical representations of mixtures of exponential families.
Signal Process., 2010

Bregman Voronoi Diagrams.
Discret. Comput. Geom., 2010

A family of statistical symmetric divergences based on Jensen's inequality
CoRR, 2010

Boosting k-NN for categorization of natural scenes
CoRR, 2010

K-NN boosting prototype learning for object classification.
Proceedings of the 11th International Workshop on Image Analysis for Multimedia Interactive Services, 2010

Reranking with Contextual Dissimilarity Measures from Representational Bregman k-Means.
Proceedings of the VISAPP 2010 - Proceedings of the Fifth International Conference on Computer Vision Theory and Applications, Angers, France, May 17-21, 2010, 2010

Jensen-Bregman Voronoi Diagrams and Centroidal Tessellations.
Proceedings of the Seventh International Symposium on Voronoi Diagrams in Science and Engineering, 2010

Boosting Bayesian MAP Classification.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Bhattacharyya Clustering with Applications to Mixture Simplifications.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Entropies and cross-entropies of exponential families.
Proceedings of the International Conference on Image Processing, 2010

K-nearest neighbor search: Fast GPU-based implementations and application to high-dimensional feature matching.
Proceedings of the International Conference on Image Processing, 2010

Earth Mover Distance on superpixels.
Proceedings of the International Conference on Image Processing, 2010

Randomized motion estimation.
Proceedings of the International Conference on Image Processing, 2010

Hyperbolic Voronoi Diagrams Made Easy.
Proceedings of the Prodeedings of the 2010 International Conference on Computational Science and Its Applications, 2010

Hierarchical Gaussian Mixture Model.
Proceedings of the IEEE International Conference on Acoustics, 2010

Texture Regimes for Entropy-Based Multiscale Image Analysis.
Proceedings of the Computer Vision, 2010

Total Bregman divergence and its applications to shape retrieval.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Multi-class Leveraged <i>κ</i>-NN for Image Classification.
Proceedings of the Computer Vision - ACCV 2010, 2010

2009
A Concise and Practical Introduction to Programming Algorithms in Java.
Undergraduate Topics in Computer Science, Springer, ISBN: 978-1-84882-339-6, 2009

Sided and symmetrized Bregman centroids.
IEEE Trans. Inf. Theory, 2009

Soft memberships for spectral clustering, with application to permeable language distinction.
Pattern Recognit., 2009

Bregman Divergences and Surrogates for Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Approximating Smallest Enclosing Balls with Applications to Machine Learning.
Int. J. Comput. Geom. Appl., 2009

Statistical exponential families: A digest with flash cards
CoRR, 2009

Information geometries and Microeconomic Theories
CoRR, 2009

Technical opinion - Steering self-learning distance algorithms.
Commun. ACM, 2009

Searching High-Dimensional Neighbours: CPU-Based Tailored Data-Structures Versus GPU-Based Brute-Force Method.
Proceedings of the Computer Vision/Computer Graphics Collaboration Techniques, 2009

Accuracy of distance metric learning algorithms.
Proceedings of the 2nd ACM SIGKDD Workshop on Data Mining using Matrices and Tensors, 2009

The Dual Voronoi Diagrams with Respect to Representational Bregman Divergences.
Proceedings of the Sixth International Symposium on Voronoi Diagrams, 2009

Bregman vantage point trees for efficient nearest Neighbor Queries.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009

Simplifying Gaussian mixture models via entropic quantization.
Proceedings of the 17th European Signal Processing Conference, 2009

Levels of Details for Gaussian Mixture Models.
Proceedings of the Computer Vision, 2009

2008
On the smallest enclosing information disk.
Inf. Process. Lett., 2008

Staring at Economic Aggregators through Information Lenses
CoRR, 2008

On the Efficient Minimization of Classification Calibrated Surrogates.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Quantum Voronoi diagrams and Holevo channel capacity for 1-qubit quantum states.
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008

Projection plane processing for sketch-based volume segmentation.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

On the efficient minimization of convex surrogates in supervised learning.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Bregman sided and symmetrized centroids.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Real-Time Spherical Videos from a Fast Rotating Camera.
Proceedings of the Image Analysis and Recognition, 5th International Conference, 2008

Intrinsic Geometries in Learning.
Proceedings of the Emerging Trends in Visual Computing, 2008

Clustering Multivariate Normal Distributions.
Proceedings of the Emerging Trends in Visual Computing, 2008

Abstracts of the LIX Fall Colloquium 2008: Emerging Trends in Visual Computing.
Proceedings of the Emerging Trends in Visual Computing, 2008

2007
Self-improved gaps almost everywhere for the agnostic approximation of monomials.
Theor. Comput. Sci., 2007

On the Centroids of Symmetrized Bregman Divergences
CoRR, 2007

Bregman Voronoi Diagrams: Properties, Algorithms and Applications
CoRR, 2007

The Digital Chameleon Principle: Computing Invisibility by Rendering Transparency.
IEEE Computer Graphics and Applications, 2007

A Real generalization of discrete AdaBoost.
Artif. Intell., 2007

Customized Slider Bars for Adjusting Multi-dimension Parameter Sets.
Proceedings of the Smart Graphics, 7th International Symposium, 2007

Fast Graph Segmentation Based on Statistical Aggregation Phenomena.
Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2007), 2007

Real Boosting a la Carte with an Application to Boosting Oblique Decision Tree.
Proceedings of the IJCAI 2007, 2007

Visualizing bregman voronoi diagrams.
Proceedings of the 23rd ACM Symposium on Computational Geometry, 2007

2006
On Weighting Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Copy-Paste Synthesis of 3D Geometry with Repetitive Patterns.
Proceedings of the Smart Graphics, 6th International Symposium, 2006

Autoframing: A Recommendation System for Detecting Undesirable Elements and Cropping Automatically Photos.
Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

Soft Uncoupling of Markov Chains for Permeable Language Distinction: A New Algorithm.
Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

On approximating the smallest enclosing Bregman Balls.
Proceedings of the 22nd ACM Symposium on Computational Geometry, 2006

2005
Surround video: a multihead camera approach.
Vis. Comput., 2005

Semi-supervised statistical region refinement for color image segmentation.
Pattern Recognit., 2005

A fast deterministic smallest enclosing disk approximation algorithm.
Inf. Process. Lett., 2005

Volume catcher.
Proceedings of the 2005 Symposium on Interactive 3D Graphics, 2005

ClickRemoval: interactive pinpoint image object removal.
Proceedings of the 13th ACM International Conference on Multimedia, 2005

Interactive Point-and-Click Segmentation for Object Removal in Digital Images.
Proceedings of the Computer Vision in Human-Computer Interaction, 2005

A Visual Interactive Framework for Formal Derivation.
Proceedings of the Computational Science, 2005

Fitting the Smallest Enclosing Bregman Ball.
Proceedings of the Machine Learning: ECML 2005, 2005

Interactive Pinpoint Image Object Removal.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Volumetric illustration: designing 3D models with internal textures.
ACM Trans. Graph., 2004

On domain-partitioning induction criteria: worst-case bounds for the worst-case based.
Theor. Comput. Sci., 2004

Statistical Region Merging.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

An Abstract Weighting Framework for Clustering Algorithms.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Improving Clustering Algorithms through Constrained Convex Optimization.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Approximating Smallest Enclosing Balls.
Proceedings of the Computational Science and Its Applications, 2004

Grouping with Bias Revisited.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

Approximating smallest enclosing disks.
Proceedings of the 16th Canadian Conference on Computational Geometry, 2004

2003
Enumeration of Contour Correspondence.
Int. J. Image Graph., 2003

Maintenance of a Piercing Set for Intervals with Applications.
Algorithmica, 2003

A Sketching Interface for Modeling the Internal Structures of 3D Shapes.
Proceedings of the Smart Graphics, Third International Symposium, 2003

Plenoptic path and its applications.
Proceedings of the 2003 International Conference on Image Processing, 2003

On Region Merging: The Statistical Soundness of Fast Sorting, with Applications.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

2002
HyperMask - projecting a talking head onto a real object.
Vis. Comput., 2002

High Resolution Full Spherical Videos.
Proceedings of the 2002 International Symposium on Information Technology (ITCC 2002), 2002

2001
On point covers of c-oriented polygons.
Theor. Comput. Sci., 2001

Combinatorial optimization algorithms for radio network planning.
Theor. Comput. Sci., 2001

HYPER MASK - Projecting a Virtual Face onto a Moving Real Object.
Proceedings of the 22nd Annual Conference of the European Association for Computer Graphics, 2001

2000
Fast stabbing of boxes in high dimensions.
Theor. Comput. Sci., 2000

Dynamic data structures for fat objects and their applications.
Comput. Geom., 2000

On the Precision of Textures.
Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2000), 2000

Maintenance of a Percing Set for Intervals with Applications.
Proceedings of the Algorithms and Computation, 11th International Conference, 2000

Shooter Location through Piercing Sets.
EuroCG, 2000

1999
Projecting computer graphics on moving surfaces: a simple calibration and tracking method.
Proceedings of the 26th Annual Conference on Computer Graphics and Interactive Techniques, 1999

1998
Output-Sensitive Convex Hull Algorithms of Planar Convex Objects.
Int. J. Comput. Geom. Appl., 1998

Randomized Adaptive Algorithms for Mosaicing Systems.
Proceedings of IAPR Workshop on Machine Vision Applications, 1998

Grouping and Querying: A Paradigm to Get Output-Sensitive Algorithms.
Proceedings of the Discrete and Computational Geometry, Japanese Conference, 1998

1996
Algorithmes géométriques adaptatifs. (Output-sensitive Computational Geometry).
PhD thesis, 1996

Output-Sensitive Peeling of Convex and Maximal Layers.
Inf. Process. Lett., 1996

On Piercing Sets of Objects.
Proceedings of the Twelfth Annual Symposium on Computational Geometry, 1996


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