Sanjiv Kumar

According to our database1, Sanjiv Kumar authored at least 58 papers between 1999 and 2018.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Adaptive Methods for Nonconvex Optimization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

cpSGD: Communication-efficient and differentially-private distributed SGD.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Loss Decomposition for Fast Learning in Large Output Spaces.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
On Binary Embedding using Circulant Matrices.
Journal of Machine Learning Research, 2017

Multiscale Quantization for Fast Similarity Search.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Distributed Mean Estimation with Limited Communication.
Proceedings of the 34th International Conference on Machine Learning, 2017

Stochastic Generative Hashing.
Proceedings of the 34th International Conference on Machine Learning, 2017

Learning Spread-Out Local Feature Descriptors.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Fast Classification with Binary Prototypes.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Learning to Hash for Indexing Big Data - A Survey.
Proceedings of the IEEE, 2016

Software-Defined Storage-Based Data Infrastructure Supportive of Hydroclimatology Simulation Containers: A Survey.
Data Science and Engineering, 2016

A Fast Approach to Solve Matrix Games with Payoffs of Trapezoidal Fuzzy Numbers.
APJOR, 2016

Orthogonal Random Features.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Binary embeddings with structured hashed projections.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Quantization based Fast Inner Product Search.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
A Survey of Modern Questions and Challenges in Feature Extraction.
Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015

Structured Transforms for Small-Footprint Deep Learning.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Spherical Random Features for Polynomial Kernels.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Fast Orthogonal Projection Based on Kronecker Product.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Exemplar-based large vocabulary speech recognition using k-nearest neighbors.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Fast Binary Embedding for High-Dimensional Data.
Proceedings of the Multimedia Data Mining and Analytics - Disruptive Innovation, 2015

2014
Discriminative Random Fields.
Computer Vision, A Reference Guide, 2014

Discrete Graph Hashing.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Circulant Binary Embedding.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Large-scale SVD and manifold learning.
Journal of Machine Learning Research, 2013

\(\propto\)SVM for Learning with Label Proportions.
Proceedings of the 30th International Conference on Machine Learning, 2013

Learning Binary Codes for High-Dimensional Data Using Bilinear Projections.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Semi-Supervised Hashing for Large-Scale Search.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Sampling Methods for the Nyström Method.
Journal of Machine Learning Research, 2012

Angular Quantization-based Binary Codes for Fast Similarity Search.
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

Compact Hyperplane Hashing with Bilinear Functions.
Proceedings of the 29th International Conference on Machine Learning, 2012

On the Difficulty of Nearest Neighbor Search.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Hashing with Graphs.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Discriminative Graphical Models for Context-Based Classification.
Proceedings of the Computer Vision: Detection, Recognition and Reconstruction, 2010

Baselines for Image Annotation.
International Journal of Computer Vision, 2010

Sequential Projection Learning for Hashing with Compact Codes.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

YouTubeCat: Learning to categorize wild web videos.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Sampling Techniques for the Nystrom Method.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Ensemble Nystrom Method.
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

On sampling-based approximate spectral decomposition.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
A New Baseline for Image Annotation.
Proceedings of the Computer Vision, 2008

Large-scale manifold learning.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Face tracking and recognition with visual constraints in real-world videos.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Classification of Weakly-Labeled Data with Partial Equivalence Relations.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2006
Discriminative Random Fields.
International Journal of Computer Vision, 2006

2005
A Hierarchical Field Framework for Unified Context-Based Classification.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2005

Digital Tapestry.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Path planning with hallucinated worlds.
Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28, 2004

2003
An observation-constrained generative approach for probabilistic classification of image regions.
Image Vision Comput., 2003

Discriminative Fields for Modeling Spatial Dependencies in Natural Images.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Discriminative Random Fields: A Discriminative Framework for Contextual Interaction in Classification.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Man-Made Structure Detection in Natural Images using a Causal Multiscale Random Field.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

2000
A Fully Autonomous Microrobotic Endoscopy System.
Journal of Intelligent and Robotic Systems, 2000

Design of a vision-guided microrobotic colonoscopy system.
Advanced Robotics, 2000

1999
A New Approach for Nonlinear Distortion Correction in Endoscopic Images Based on Least Squares Estimation.
IEEE Trans. Med. Imaging, 1999

A pipelined architecture for image segmentation by adaptive progressive thresholding.
Microprocessors and Microsystems - Embedded Hardware Design, 1999


  Loading...