Tibério S. Caetano

Affiliations:
  • Australian National University, Research School of Computer Science
  • NICTA, Machine Learning Group


According to our database1, Tibério S. Caetano authored at least 59 papers between 2001 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2020
Fast Fair Regression via Efficient Approximations of Mutual Information.
CoRR, 2020

2018
3-D Shape Matching and Non-Rigid Correspondence for Hippocampi Based on Markov Random Fields.
IEEE Trans. Image Process., 2018

2017
Graphical Models.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

2016
The Crossover Process: Learnability meets Protection from Inference Attacks.
CoRR, 2016

Evolution of Privacy Loss in Wikipedia.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Fast Learning from Distributed Datasets without Entity Matching.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
A Hybrid Loss for Multiclass and Structured Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

2014
Bayesian Models for Structured Sparse Estimation via Set Cover Prior.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

(Almost) No Label No Cry.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Finito: A faster, permutable incremental gradient method for big data problems.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies.
Int. J. Comput. Vis., 2013

Active Subnetwork Recovery with a Mechanism-Dependent Scoring Function; with application to Angiogenesis and Organogenesis studies.
BMC Bioinform., 2013

2012
Dimensionality reduction via compressive sensing.
Pattern Recognit. Lett., 2012

Fast matching of large point sets under occlusions.
Pattern Recognit., 2012

AI@NICTA.
AI Mag., 2012

Learning as MAP Inference in Discrete Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

The Interplay of Statistical and Structural Pattern Recognition from a Machine Learning Perspective.
Proceedings of the ICPRAM 2012, 2012

A Graphical Model Formulation of Collaborative Filtering Neighbourhood Methods with Fast Maximum Entropy Training.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Faster Algorithms for Max-Product Message-Passing.
J. Mach. Learn. Res., 2011

Submodular Multi-Label Learning.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies: An ImageNet Case Study.
Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011

2010
Graphical Models.
Proceedings of the Encyclopedia of Machine Learning, 2010

Exploiting Within-Clique Factorizations in Junction-Tree Algorithms.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Conditional Random Fields and Support Vector Machines: A Hybrid Approach
CoRR, 2010

Multitask Learning without Label Correspondences.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Word Features for Latent Dirichlet Allocation.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Reverse Multi-Label Learning.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Exploiting Data-Independence for Fast Belief-Propagation.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Sparse Update for Loopy Belief Propagation: Fast Dense Registration for Large State Spaces.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2010

Unified graph matching in Euclidean spaces.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Learning Graph Matching.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Estimating Labels from Label Proportions.
J. Mach. Learn. Res., 2009

An expected-case sub-cubic solution to the all-pairs shortest path problem in R
CoRR, 2009

Exact Inference in Graphical Models: is There More to it?
CoRR, 2009

Scalable Inference for Latent Dirichlet Allocation
CoRR, 2009

Convex Relaxation of Mixture Regression with Efficient Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Exponential Family Graph Matching and Ranking.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Kernel Conditional Quantile Estimation via Reduction Revisited.
Proceedings of the ICDM 2009, 2009

Applying Sum and Max Product Algorithms of Belief Propagation to 3D Shape Matching and Registration.
Proceedings of the DICTA 2009, 2009

Shape classification through structured learning of matching measures.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Graph Rigidity, Cyclic Belief Propagation, and Point Pattern Matching.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Robust Near-Isometric Matching via Structured Learning of Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007
High-Order Nonparametric Belief-Propagation for Fast Image Inpainting
CoRR, 2007

Learning Graph Matching.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

An MRF and Gaussian Curvature Based Shape Representation for Shape Matching.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Approximating the problem, not the solution: An alternative view of point set matching.
Pattern Recognit., 2006

Graphical Models and Point Pattern Matching.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

An Embedded Bayesian Network Hidden Markov Model for Digital Forensics.
Proceedings of the Intelligence and Security Informatics, 2006

A Unified Formulation of Invariant Point Pattern Matching.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Learning high-order MRF priors of color images.
Proceedings of the Machine Learning, 2006

2005
Graphical models for graph matching: Approximate models and optimal algorithms.
Pattern Recognit. Lett., 2005

2004
Modelos Gráficos e Casamento de Padrões de Pontos.
PhD thesis, 2004

An Optimal Probabilistic Graphical Model for Point Set Matching.
Proceedings of the Structural, 2004

A Comparison of Junction Tree and Relaxation Algorithms for Point Matching using Different Distance Metrics.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Graphical Models for Graph Matching.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003
Do mixture models in chromaticity space improve skin detection?
Pattern Recognit., 2003

2002
Performance Evaluation of Single and Multiple-Gaussian Models for Skin Color Modeling.
Proceedings of the 15th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2002), 2002

2001
A Probabilistic Model for the Human Skin Color.
Proceedings of the 11th International Conference on Image Analysis and Processing (ICIAP 2001), 2001


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