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JMLR
2010
132views more  JMLR 2010»
15 years 2 months ago
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence
The problems of dimension reduction and inference of statistical dependence are addressed by the modeling framework of learning gradients. The models we propose hold for Euclidean...
Qiang Wu, Justin Guinney, Mauro Maggioni, Sayan Mu...
CORR
2011
Springer
182views Education» more  CORR 2011»
14 years 11 months ago
Adaptively Learning the Crowd Kernel
We introduce an algorithm that, given n objects, learns a similarity matrix over all n2 pairs, from crowdsourced data alone. The algorithm samples responses to adaptively chosen t...
Omer Tamuz, Ce Liu, Serge Belongie, Ohad Shamir, A...
ICASSP
2011
IEEE
14 years 11 months ago
Bio-inspired cooperative optimization with application to bacteria motility
Inspired by bacterial motility, we propose an algorithm for adaptation over networks with mobile nodes. The nodes have limited abilities and they are allowed to cooperate with the...
Jianshu Chen, Ali H. Sayed
ICASSP
2011
IEEE
14 years 11 months ago
Compressed classification of observation sets with linear subspace embeddings
We consider the problem of classification of a pattern from multiple compressed observations that are collected in a sensor network. In particular, we exploit the properties of r...
Dorina Thanou, Pascal Frossard
222
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ICASSP
2011
IEEE
14 years 11 months ago
Grassmannian predictive coding for limited feedback multiuser MIMO systems
Grassmannian beamforming is an efficient way to quantize channel state information in multiple-input multiple-output wireless systems. Unfortunately, multiuser systems require la...
Takao Inoue, Robert W. Heath Jr.