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ICASSP
2011
IEEE
14 years 10 months ago
Nonparametric Bayesian feature selection for multi-task learning
We present a nonparametric Bayesian model for multi-task learning, with a focus on feature selection in binary classification. The model jointly identifies groups of similar tas...
Hui Li, Xuejun Liao, Lawrence Carin
RSFDGRC
2005
Springer
111views Data Mining» more  RSFDGRC 2005»
16 years 4 days ago
Feature Selection with Adjustable Criteria
Abstract. We present a study on a rough set based approach for feature selection. Instead of using significance or support, Parameterized Average Support Heuristic (PASH) consider...
Jingtao Yao, Ming Zhang
VMV
2003
123views Visualization» more  VMV 2003»
15 years 8 months ago
Using Feature Flow Fields for Topological Comparison of Vector Fields
In this paper we propose a new topology based metric for 2D vector fields. This metric is based on the concept of feature flow fields. We show that it incorporates both the cha...
Holger Theisel, Christian Rössl, Hans-Peter S...
ICASSP
2011
IEEE
14 years 10 months ago
Automatic Language Identification in music videos with low level audio and visual features
Automatic Language Identification (LID) in music has received significantly less attention than LID in speech. Here, we study the problem of LID in music videos uploaded on YouT...
Vijay Chandrasekhar, Mehmet Emre Sargin, David A. ...
CODES
2003
IEEE
15 years 12 months ago
Extending the SystemC synthesis subset by object-oriented features
In this article we present an approach to object-oriented hardware design and synthesis based on SystemC. We will
Eike Grimpe, Frank Oppenheimer