1697 search results - page 19 / 340 » Spike Feature Extraction Using Informative Samples |
ACL
2003
13 years 9 months ago
2003
In this paper we present a novel, customizable IE paradigm that takes advantage of predicate-argument structures. We also introduce a new way of automatically identifying predicat...
ICAISC
2010
Springer
13 years 9 months ago
2010
Springer
Hotelling’s Canonical Correlation Analysis (CCA) works with two sets of related variables, also called views, and its goal is to find their linear projections with maximal mutual...
TKDE
2011
13 years 2 months ago
2011
—Discriminant feature extraction plays a central role in pattern recognition and classification. Linear Discriminant Analysis (LDA) is a traditional algorithm for supervised feat...
CAINE
2010
13 years 5 months ago
2010
The ability for humans to understand and process the emotional content of speech is unsurpassed by simulated intelligent agents. Beyond the linguistic content of speech are the un...
AMC
2007
13 years 8 months ago
2007
When correlating the samples with the corresponding class labels, canonical correlation analysis (CCA) can be used for supervised feature extraction and subsequent classification...