Vikas Singh

Orcid: 0000-0002-8355-6519

According to our database1, Vikas Singh authored at least 191 papers between 2003 and 2024.

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

Timeline

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Bibliography

2024
Hotel Booking Cancellation Prediction Using Applied Bayesian Models.
CoRR, 2024

Variational Sampling of Temporal Trajectories.
CoRR, 2024

AT-2FF: Adaptive Type-2 Fuzzy Filter for De-noising Images Corrupted with Salt-and-Pepper.
CoRR, 2024

IM-Unpack: Training and Inference with Arbitrarily Low Precision Integers.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Implicit Representations via Operator Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

FrameQuant: Flexible Low-Bit Quantization for Transformers.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Pooling Image Datasets with Multiple Covariate Shift and Imbalance.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Understanding Multi-compositional Learning in Vision and Language Models via Category Theory.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Improved adaptive type-2 fuzzy filter with exclusively two fuzzy membership function for filtering salt and pepper noise.
Multim. Tools Appl., May, 2023

Artificial intelligence application in fault diagnostics of rotating industrial machines: a state-of-the-art review.
J. Intell. Manuf., March, 2023

Kora: A Cloud-Native Event Streaming Platform for Kafka.
Proc. VLDB Endow., 2023

VCC: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LookupFFN: Making Transformers Compute-lite for CPU inference.
Proceedings of the International Conference on Machine Learning, 2023

Controlled Differential Equations on Long Sequences via Non-standard Wavelets.
Proceedings of the International Conference on Machine Learning, 2023

Efficient Discrete Multi Marginal Optimal Transport Regularization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Identification of Distributed Denial of Service Attacks Employing L-BFGS Tuning.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Robustness and Convergence of Mirror Descent for Blind Deconvolution.
Proceedings of the IEEE International Conference on Acoustics, 2023

Disease Prediction using Chest X-ray Images in Serverless Data pipeline Framework.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022
Performing Group Difference Testing on Graph Structured Data From GANs: Analysis and Applications in Neuroimaging.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Mixed Effects Neural ODE: A Variational Approximation for Analyzing the Dynamics of Panel Data.
CoRR, 2022

Investigating Functional Brain Network Abnormalities via Differential Covariance Trajectory Analysis and Scan Statistics.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Multi Resolution Analysis (MRA) for Approximate Self-Attention.
Proceedings of the International Conference on Machine Learning, 2022

Forward Operator Estimation in Generative Models with Kernel Transfer Operators.
Proceedings of the International Conference on Machine Learning, 2022

On the Versatile Uses of Partial Distance Correlation in Deep Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Understanding Uncertainty Maps in Vision with Statistical Testing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Deep Unlearning via Randomized Conditionally Independent Hessians.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

AHP-PCP: AHP based Probabilistic Consensus Protocol for Probabilistic Knowledge-based Blockchains.
Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2022

2021
Condition-Based Monitoring in Variable Machine Running Conditions Using Low-Level Knowledge Transfer With DNN.
IEEE Trans Autom. Sci. Eng., 2021

BIDEAL: A Toolbox for Bicluster Analysis - Generation, Visualization and Validation.
SN Comput. Sci., 2021

Graph Neural Networks to Predict Customer Satisfaction Following Interactions with a Corporate Call Center.
CoRR, 2021

Graph reparameterizations for enabling 1000+ Monte Carlo iterations in Bayesian deep neural networks.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

A variational approximation for analyzing the dynamics of panel data.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

An Online Riemannian PCA for Stochastic Canonical Correlation Analysis.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling.
Proceedings of the 38th International Conference on Machine Learning, 2021

Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Simpler Certified Radius Maximization by Propagating Covariances.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Connecting What To Say With Where To Look by Modeling Human Attention Traces.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Flow-based Generative Models for Learning Manifold to Manifold Mappings.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Physarum Powered Differentiable Linear Programming Layers and Applications.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learning Invariant Representations using Inverse Contrastive Loss.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Aerodynamic Modeling of ATTAS Aircraft Using Mamdani Fuzzy Inference Network.
IEEE Trans. Aerosp. Electron. Syst., 2020

A Bayesian Approach with Type-2 Student-tMembership Function for T-S Model Identification.
CoRR, 2020

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators.
CoRR, 2020

Deep Learning image segmentation for extraction of fish body measurements and prediction of body weight and carcass traits in Nile tilapia.
Comput. Electron. Agric., 2020

Learning Amyloid Pathology Progression from Longitudinal PIB-PET Images in Preclinical Alzheimer's Disease.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret.
Proceedings of the Computer Vision - ECCV 2020, 2020

Generating Accurate Pseudo-Labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization Offers Significant Performance and Efficiency Gains.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Deterministic Nonsmooth Frank Wolfe Algorithm with Coreset Guarantees.
INFORMS J. Optim., April, 2019

Transfer Learning for Molecular Cancer Classification Using Deep Neural Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

mRMR-DNN with Transfer Learning for IntelligentFault Diagnosis of Rotating Machines.
CoRR, 2019

An Entropy-based Variable Feature Weighted Fuzzy k-Means Algorithm for High Dimensional Data.
CoRR, 2019

Generating Accurate Pseudo-labels via Hermite Polynomials for SSL Confidently.
CoRR, 2019

Fooling Computer Vision into Inferring the Wrong Body Mass Index.
CoRR, 2019

Resource Constrained Neural Network Architecture Search.
CoRR, 2019

Associations Between Positron Emission Tomography Amyloid Pathology and Diffusion Tensor Imaging Brain Connectivity in Pre-Clinical Alzheimer's Disease.
Brain Connect., 2019

Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

On Training Deep 3D CNN Models with Dependent Samples in Neuroimaging.
Proceedings of the Information Processing in Medical Imaging, 2019

Resource Constrained Neural Network Architecture Search: Will a Submodularity Assumption Help?
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Adaptive Activation Thresholding: Dynamic Routing Type Behavior for Interpretability in Convolutional Neural Networks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Scaling Recurrent Models via Orthogonal Approximations in Tensor Trains.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples With Applications to Neuroimaging.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Dilated Convolutional Neural Networks for Sequential Manifold-Valued Data.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Feature Ranking using Robust Fuzzy Score Function for Gene Expression Data.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

Fuzzy based Pooling in Convolutional Neural Network for Image Classification.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Adaptive Type-2 Fuzzy Approach for Filtering Salt and Pepper Noise in Grayscale Images.
IEEE Trans. Fuzzy Syst., 2018

Building Bayesian Neural Networks with Blocks: On Structure, Interpretability and Uncertainty.
CoRR, 2018

Statistical Recurrent Models on Manifold valued Data.
CoRR, 2018

Sampling-free Uncertainty Estimation in Gated Recurrent Units with Exponential Families.
CoRR, 2018

Robust Blind Deconvolution via Mirror Descent.
CoRR, 2018

Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision.
CoRR, 2018

A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Natural Language Interface for Dissemination of Reproducible Biomedical Data Science.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Prognosis of Diesel Engine (MBT) Using Feature Extraction Techniques: A Comparative Study.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018

Fusion of Low-level Features with Stacked Autoencoder for Condition based Monitoring of Machines.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018

Optimal Feature Selection using Fuzzy Combination of Feature Subset for Transcriptome Data.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

Efficient Relative Attribute Learning Using Graph Neural Networks.
Proceedings of the Computer Vision - ECCV 2018, 2018

A Biresolution Spectral Framework for Product Quantization.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Tensorize, Factorize and Regularize: Robust Visual Relationship Learning.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Proceedings of the 16th Annual UT-KBRIN Bioinformatics Summit 2016: bioinformatics: Burns, TN, USA. April 21-23, 2017.
BMC Bioinform., September, 2017

Accelerating permutation testing in voxel-wise analysis through subspace tracking: A new plugin for SnPM.
NeuroImage, 2017

Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective.
CoRR, 2017

On architectural choices in deep learning: From network structure to gradient convergence and parameter estimation.
CoRR, 2017

Modeling Cognitive Trends in Preclinical Alzheimer's Disease (AD) via Distributions over Permutations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, $\ell_2$-consistency and Neuroscience Applications.
Proceedings of the 34th International Conference on Machine Learning, 2017

A Geometric Framework for Statistical Analysis of Trajectories with Distinct Temporal Spans.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Riemannian Variance Filtering: An Independent Filtering Scheme for Statistical Tests on Manifold-Valued Data.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Filter Flow Made Practical: Massively Parallel and Lock-Free.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Online Graph Completion: Multivariate Signal Recovery in Computer Vision.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

The Incremental Multiresolution Matrix Factorization Algorithm.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Randomized Deep Learning Methods for Clinical Trial Enrichment and Design in Alzheimer's Disease.
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2016
Integrated library management systems: Comparative analysis of Koha, Libsys, NewGenLib, and Virtua.
Electron. Libr., 2016

Controlling UAVs with Sensor Input Spoofing Attacks.
Proceedings of the 10th USENIX Workshop on Offensive Technologies, 2016

Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

27.5 A 4GS/s time-interleaved RF ADC in 65nm CMOS with 4GHz input bandwidth.
Proceedings of the 2016 IEEE International Solid-State Circuits Conference, 2016

Experimental Design on a Budget for Sparse Linear Models and Applications.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Comparative analysis of Gaussian mixture model, logistic regression and random forest for big data classification using map reduce.
Proceedings of the 11th International Conference on Industrial and Information Systems, 2016

Network Flow Formulations for Learning Binary Hashing.
Proceedings of the Computer Vision - ECCV 2016, 2016

Abundant Inverse Regression Using Sufficient Reduction and Its Applications.
Proceedings of the Computer Vision - ECCV 2016, 2016

Adaptive Signal Recovery on Graphs via Harmonic Analysis for Experimental Design in Neuroimaging.
Proceedings of the Computer Vision - ECCV 2016, 2016

Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP).
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Layerwise feature selection in Stacked Sparse Auto-Encoder for tumor type prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

On the interplay of network structure and gradient convergence in deep learning.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015
Multi-resolution statistical analysis of brain connectivity graphs in preclinical Alzheimer's disease.
NeuroImage, 2015

SnFFT: a Julia toolkit for Fourier analysis of functions over permutations.
J. Mach. Learn. Res., 2015

Convergence of gradient based pre-training in Denoising autoencoders.
CoRR, 2015

Multi-resolution statistical analysis on graph structured data in neuroimaging.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Manifold-valued Dirichlet Processes.
Proceedings of the 32nd International Conference on Machine Learning, 2015

An NMF Perspective on Binary Hashing.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

On Statistical Analysis of Neuroimages with Imperfect Registration.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Interpolation on the Manifold of K Component GMMs.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Gaze-enabled egocentric video summarization via constrained submodular maximization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Statistical inference models for image datasets with systematic variations.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness.
NeuroImage, 2014

Permutation Diffusion Maps (PDM) with Application to the Image Association Problem in Computer Vision.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Randomized Denoising Autoencoders for Smaller and Efficient Imaging Based AD Clinical Trials.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Canonical Correlation Analysis on Riemannian Manifolds and Its Applications.
Proceedings of the Computer Vision - ECCV 2014, 2014

Spectral Clustering with a Convex Regularizer on Millions of Images.
Proceedings of the Computer Vision - ECCV 2014, 2014

Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Characterizing Functional Connectivity Differences in Aging Adults using Machine Learning on Resting State fMRI Data.
Frontiers Comput. Neurosci., 2013

Solving the multi-way matching problem by permutation synchronization.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Speeding up Permutation Testing in Neuroimaging.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Multi-resolutional Brain Network Filtering and Analysis via Wavelets on Non-Euclidean Space.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

A 45nm CMOS near-field communication radio with 0.15A/m RX sensitivity and 4mA current consumption in card emulation mode.
Proceedings of the 2013 IEEE International Solid-State Circuits Conference, 2013

GOSUS: Grassmannian Online Subspace Updates with Structured-Sparsity.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Incorporating User Interaction and Topological Constraints within Contour Completion via Discrete Calculus.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Multi-resolution Shape Analysis via Non-Euclidean Wavelets: Applications to Mesh Segmentation and Surface Alignment Problems.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
A 16 MHz BW 75 dB DR CT ΔΣ ADC Compensated for More Than One Cycle Excess Loop Delay.
IEEE J. Solid State Circuits, 2012

MDABC: Motif Discovery Using Artificial Bee Colony Algorithm.
J. Inf. Technol. Res., 2012

An efficient algorithm for maximal margin clustering.
J. Glob. Optim., 2012

View variations effect in gait recognition and performance improvement using fusion.
Proceedings of the 1st International Conference on Recent Advances in Information Technology, 2012

Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination.
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

Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging.
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

Adaptive cuts for extracting specific white matter tracts.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Incorporating Domain Knowledge in Matching Problems via Harmonic Analysis.
Proceedings of the 29th International Conference on Machine Learning, 2012

Analyzing the Subspace Structure of Related Images: Concurrent Segmentation of Image Sets.
Proceedings of the Computer Vision - ECCV 2012, 2012

Random walks based multi-image segmentation: Quasiconvexity results and GPU-based solutions.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Topology-Based Kernels With Application to Inference Problems in Alzheimer's Disease.
IEEE Trans. Medical Imaging, 2011

Predictive markers for AD in a multi-modality framework: An analysis of MCI progression in the ADNI population.
NeuroImage, 2011

A cokriging based approach to reconstruct air pollution maps, processing measurement station concentrations and deterministic model simulations.
Environ. Model. Softw., 2011

MKL-Based Sample Enrichment and Customized Outcomes Enable Smaller AD Clinical Trials.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

Discrete optimization problem solving with three variants of hybrid binary particle swarm optimization.
Proceedings of the 3rd Workshop on Biologically Inspired Algorithms for Distributed Systems, 2011

Fusion of Gait and Facial Feature Using PCA.
Proceedings of the Signal Processing, Image Processing and Pattern Recognition, 2011

Scale invariant cosegmentation for image groups.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

A 16MHz BW 75dB DR CT ΔΣ ADC compensated for more than one cycle excess loop delay.
Proceedings of the 2011 IEEE Custom Integrated Circuits Conference, 2011

Frontal view gait based recognition using PCA.
Proceedings of the International Conference on Advances in Computing and Artificial Intelligence, 2011

2010
Compensating for Quantizer Delay in Excess of One Clock Cycle in Continuous-Time DeltaSigma Modulators.
IEEE Trans. Circuits Syst. II Express Briefs, 2010

Ensemble clustering using semidefinite programming with applications.
Mach. Learn., 2010

A Survey of Payment Card Industry Data Security Standard.
IEEE Commun. Surv. Tutorials, 2010

Epitome driven 3-D Diffusion Tensor image segmentation: on extracting specific structures.
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

Application of improved Apriori in University Library.
Proceedings of the ICWET '10 International Conference & Workshop on Emerging Trends in Technology, Mumbai, Maharashtra, India, February 26, 2010

Learning kernels for variants of normalized cuts: Convex relaxations and applications.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Network Connectivity via Inference over Curvature-Regularizing Line Graphs.
Proceedings of the Computer Vision - ACCV 2010, 2010

2009
Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset.
NeuroImage, 2009

Generalized median graphs and applications.
J. Comb. Optim., 2009

Enhanced Spectrum Utilization for Existing Cellular Technologies Based on Genetic Algorithm in Preview of Cognitive Radio.
Int. J. Commun. Netw. Syst. Sci., 2009

Real-time endovascular guidewire position simulation using shortest path algorithms.
Int. J. Comput. Assist. Radiol. Surg., 2009

MKL for Robust Multi-modality AD Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Topological Characterization of Signal in Brain Images Using Min-Max Diagrams.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Label set perturbation for MRF based neuroimaging segmentation.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

An efficient algorithm for Co-segmentation.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Half-integrality based algorithms for cosegmentation of images.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Limited view CT reconstruction and segmentation via constrained metric labeling.
Comput. Vis. Image Underst., 2008

Algorithms for Real Time Detection and Depth Calculation of Obstacles by Autonomous Robots.
Proceedings of the 2008 IEEE Conference on Robotics, Automation and Mechatronics, 2008

Cortical Surface Thickness as a Classifier: Boosting for Autism Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

2007
Brachytherapy Seed Localization Using Geometric and Linear Programming Techniques.
IEEE Trans. Medical Imaging, 2007

Ensemble Clustering using Semidefinite Programming.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Planning image-guided endovascular interventions: guidewire simulation using shortest path algorithms.
Proceedings of the Medical Imaging 2007: Visualization and Image-Guided Procedures, 2007

Limited view CT reconstruction via constrained metric labeling.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Generalized Median Graphs: Theory and Applications.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2006
Solving the brachytherapy seed localization problem using geometric and linear programming techniques.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

A linear programming based algorithm for determining corresponding point tuples in multiple vascular images.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

On Mobility Analysis of Functional Sites from Time Lapse Microscopic Image Sequences of Living Cell Nucleus.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

2005
Efficient Algorithms for Determining 3-D Bi-Plane Imaging Geometry.
J. Comb. Optim., 2005

Efficient Job Scheduling Algorithms with Multi-Type Contentions.
J. Comb. Optim., 2005

A new algorithm for determining 3D biplane imaging geometry: theory and implementation.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

Efficient geometric techniques for reconstructing 3D vessel trees from biplane image.
Proceedings of the 21st ACM Symposium on Computational Geometry, 2005

2004
Interactive Volume Manipulation with Selective Rendering for Improved Visualization.
Proceedings of the 2004 IEEE Symposium on Volume Visualization and Graphics, 2004

Efficient techniques for background estimation and vessel detection in coronary images.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004

2003
Real-Time Volume Manipulation.
Proceedings of the 3rd Eurographics / IEEE TCVG International Workshop on Volume Graphics, 2003

Spatial Transfer Functions-A Unified Approach to Specifying Deformation in Volume Modeling and Animation.
Proceedings of the 3rd Eurographics / IEEE TCVG International Workshop on Volume Graphics, 2003


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