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ICML
2006
IEEE
15 years 10 months 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...
APPROX
2008
Springer
102views Algorithms» more  APPROX 2008»
14 years 11 months ago
Dense Fast Random Projections and Lean Walsh Transforms
Random projection methods give distributions over k
Edo Liberty, Nir Ailon, Amit Singer
ICML
2007
IEEE
15 years 10 months 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
78
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AAAI
2012
12 years 12 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