—This paper is concerned with a simple binary erasure-recovery coding scheme that falls into the family of socalled semi-random low-density-parity-check (SR-LDPC) codes. Based on...
—In this paper, we present a new technique that uses deterministic binary network coding in a distributed manner to enhance the resiliency of Sensor-to-Base information flow aga...
Semantic hashing[1] seeks compact binary codes of data-points so that the Hamming distance between codewords correlates with semantic similarity. In this paper, we show that the p...
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
Pablo Sprechmann, Ignacio Ramirez, Guillermo Sapir...
We describe a novel inference algorithm for sparse Bayesian PCA with a zero-norm prior on the model parameters. Bayesian inference is very challenging in probabilistic models of t...