29 citations · 51 across the 4 of their papers we have counts for
4 papers
Deep Learning for Multi-label Classification
Jesse Read, Fernando Perez-Cruz
In multi-label classification, the main focus has been to develop ways of learning the underlying dependencies between labels, and to take advantage of this at classification time.…
Bayesian Nonparametric Crowdsourcing
Pablo G. Moreno, Yee Whye Teh, Fernando Perez-Cruz +1
Crowdsourcing has been proven to be an effective and efficient tool to annotate large datasets. User annotations are often noisy, so methods to combine the annotations to produce r…
Tree-structure Expectation Propagation for Decoding LDPC codes over Binary Erasure Channels
Pablo M. Olmos, Juan José Murillo-Fuentes
Expectation Propagation is a generalization to Belief Propagation (BP) in two ways. First, it can be used with any exponential family distribution over the cliques in the graph. Se…
Channel Decoding with a Bayesian Equalizer
Luis Salamanca, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
Low-density parity-check (LPDC) decoders assume the channel estate information (CSI) is known and they have the true a posteriori probability (APP) for each transmitted bit. But in…