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» Sparse probabilistic projections
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81
Voted
ICML
2006
IEEE
16 years 13 days ago
Robust probabilistic projections
Principal components and canonical correlations are at the root of many exploratory data mining techniques and provide standard pre-processing tools in machine learning. Lately, p...
Cédric Archambeau, Michel Verleysen, Nicola...
92
Voted
APPROX
2008
Springer
102views Algorithms» more  APPROX 2008»
15 years 1 months ago
Dense Fast Random Projections and Lean Walsh Transforms
Random projection methods give distributions over k
Edo Liberty, Nir Ailon, Amit Singer
79
Voted
ICIP
2006
IEEE
16 years 1 months ago
L0-Norm-Based Sparse Representation Through Alternate Projections
Luis Mancera, Javier Portilla
102
Voted
ICML
2007
IEEE
16 years 13 days ago
Bayesian compressive sensing and projection optimization
This paper introduces a new problem for which machine-learning tools may make an impact. The problem considered is termed "compressive sensing", in which a real signal o...
Shihao Ji, Lawrence Carin
94
Voted
AAAI
2012
13 years 2 months ago
Supervised Probabilistic Robust Embedding with Sparse Noise
Many noise models do not faithfully reflect the noise processes introduced during data collection in many real-world applications. In particular, we argue that a type of noise re...
Yu Zhang, Dit-Yan Yeung, Eric P. Xing