On Sampling-Based Approximate Spectral Decomposition, Sanjiv Kumar, Mehryar Mohri, Ameet Talkwalkar, International Conference on Machine Learning (ICML), 2009.
On Sampling-based Approximate Spectral Decomposition, Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar, Proceedings of the Twenty-sixth International Conference on Machine Learning (ICML 2009).
Sampling Techniques for the Nystrom Method, Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar, Artificial Intelligence and Statistics (AISTATS), 2009.
Sampling Techniques for the Nystrom Method, Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar, Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS 2009), pp. 304-311.
A new baseline for image annotation, Ameesh Makadia, Vladimir Pavlovic, Sanjiv Kumar, European Conference on Computer Vision (ECCV 08), 2008.
Face Tracking and Recognition with Visual Constraints in Real-World Videos, Minyoung Kim, Sanjiv Kumar, Vladimir Pavlovic, Henry A. Rowley, Computer Vision and Pattern Recognition, 2008.
Large-Scale Manifold Learning, Ameet Talwalkar, Sanjiv Kumar, Henry A. Rowley, Computer Vision and Pattern Recognition, 2008.
Classification of Weakly-Labeled Data with Partial Equivalence Relations, Sanjiv Kumar, Henry A. Rowley, International Conference on Computer Vision, 2007.