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129
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ICPR
2004
IEEE
16 years 4 months ago
Learning High-level Independent Components of Images through a Spectral Representation
Statistical methods, such as independent component analysis, have been successful in learning local low-level features from natural image data. Here we extend these methods for le...
Aapo Hyvärinen, Jussi T. Lindgren
130
Voted
DCC
2007
IEEE
16 years 3 months ago
Quantization of Sparse Representations
Compressive sensing (CS) is a new signal acquisition technique for sparse and compressible signals. Rather than uniformly sampling the signal, CS computes inner products with rand...
Petros Boufounos, Richard G. Baraniuk
123
Voted
MDM
2009
Springer
141views Communications» more  MDM 2009»
15 years 10 months ago
Constructing Hierarchical Representations of Indoor Spaces
Indoor spaces pose many challenges for spatial information systems, amongst them appropriate spatial communication. Compared to typical outdoor spaces, indoor spaces are clustered...
Kai-Florian Richter, Stephan Winter, Urs-Jakob R&u...
109
Voted
CSSE
2008
IEEE
15 years 10 months ago
Generation of Executable Representation for Processor Simulation with Dynamic Translation
Instruction-Set Simulators (ISS) are indispensable tools for studying new architectures. There are several alternatives to achieve instruction set simulation, such as interpretive...
Jiajia Song, HongWei Hao, Claude Helmstetter, Vani...
131
Voted
ICDM
2005
IEEE
133views Data Mining» more  ICDM 2005»
15 years 9 months ago
Summarization - Compressing Data into an Informative Representation
In this paper, we formulate the problem of summarization of a dataset of transactions with categorical attributes as an optimization problem involving two objective functions - co...
Varun Chandola, Vipin Kumar