Several important applications require completion a low-rank matrix in presence of gross outliers. Examples include robust PCA with missing entries, robust recommendation system, foreground background separation in sublinear time etc. Existing solutions for this problem…
For many problems, algorithms implemented in MapReduce or similar two-ranks-of-parallel-tasks systems exhibit a tradeoff between memory size and communication. More precisely, the tradeoff is between “reducer size” (the number of inputs received by the second…
In this talk, I will present a novel Deep Network architecture that implements the full feature point-handling pipeline, that is, detection, orientation estimation, and feature description. While previous works have successfully tackled each one of…
