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ICASSP
2011
IEEE
12 years 11 months ago
Bayesian framework and message passing for joint support and signal recovery of approximately sparse signals
In this paper, we develop a low-complexity message passing algorithm for joint support and signal recovery of approximately sparse signals. The problem of recovery of strictly spa...
Shubha Shedthikere, Ananthanarayanan Chockalingam
ICML
2010
IEEE
13 years 8 months ago
Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets
A sparse representation of Support Vector Machines (SVMs) with respect to input features is desirable for many applications. In this paper, by introducing a 0-1 control variable t...
Mingkui Tan, Li Wang, Ivor W. Tsang
IROS
2008
IEEE
191views Robotics» more  IROS 2008»
14 years 1 months ago
Local Gaussian process regression for real-time model-based robot control
— High performance and compliant robot control requires accurate dynamics models which cannot be obtained analytically for sufficiently complex robot systems. In such cases, mac...
Duy Nguyen-Tuong, Jan Peters
MICRO
2002
IEEE
173views Hardware» more  MICRO 2002»
14 years 9 days ago
Vector vs. superscalar and VLIW architectures for embedded multimedia benchmarks
Multimedia processing on embedded devices requires an architecture that leads to high performance, low power consumption, reduced design complexity, and small code size. In this p...
Christoforos E. Kozyrakis, David A. Patterson
CIKM
2008
Springer
13 years 9 months ago
Kernel methods, syntax and semantics for relational text categorization
Previous work on Natural Language Processing for Information Retrieval has shown the inadequateness of semantic and syntactic structures for both document retrieval and categoriza...
Alessandro Moschitti