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PKDD
2009
Springer
110views Data Mining» more  PKDD 2009»
15 years 8 months ago
Reconstructing Data Perturbed by Random Projections When the Mixing Matrix Is Known
Yingpeng Sang, Hong Shen, Hui Tian
ICASSP
2011
IEEE
14 years 5 months ago
Generalized Restricted Isometry Property for alpha-stable random projections
The Restricted Isometry Property (RIP) is an important concept in compressed sensing. It is well known that many random matrices satisfy the RIP with high probability, whenever th...
Daniel Otero, Gonzalo R. Arce
IDA
2009
Springer
14 years 11 months ago
Hierarchical Extraction of Independent Subspaces of Unknown Dimensions
Abstract. Independent Subspace Analysis (ISA) is an extension of Independent Component Analysis (ICA) that aims to linearly transform a random vector such as to render groups of it...
Peter Gruber, Harold W. Gutch, Fabian J. Theis
COLT
2010
Springer
14 years 11 months ago
Toward Learning Gaussian Mixtures with Arbitrary Separation
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
Mikhail Belkin, Kaushik Sinha