3.7k citations · 11.8k across the 85 of their papers we have counts for
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An implementation of a randomized algorithm for principal component analysis
Arthur Szlam, Yuval Kluger, Mark Tygert
Recent years have witnessed intense development of randomized methods for low-rank approximation. These methods target principal component analysis (PCA) and the calculation of tru…
Video (language) modeling: a baseline for generative models of natural videos
MarcAurelio Ranzato, Arthur Szlam, Joan Bruna +3
We propose a strong baseline model for unsupervised feature learning using video data. By learning to predict missing frames or extrapolate future frames from an input video sequen…
An Incremental Reseeding Strategy for Clustering
Xavier Bresson, Huiyi Hu, Thomas Laurent +2
In this work we propose a simple and easily parallelizable algorithm for multiway graph partitioning. The algorithm alternates between three basic components: diffusing seed vertic…
Better Feature Tracking Through Subspace Constraints
Bryan Poling, Gilad Lerman, Arthur Szlam
Feature tracking in video is a crucial task in computer vision. Usually, the tracking problem is handled one feature at a time, using a single-feature tracker like the Kanade-Lucas…