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» Online feature selection and classification
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JCP
2008
157views more  JCP 2008»
13 years 7 months ago
A New Information Fusion Method for Bimodal Robotic Emotion Recognition
Emotion recognition has become a popular area in human-robot interaction research. Through recognizing facial expressions, a robot can interact with a person in a more friendly man...
Meng-Ju Han, Jing-Huai Hsu, Kai-Tai Song, Fuh-Yu C...
JSA
2006
97views more  JSA 2006»
13 years 7 months ago
Dynamic feature selection for hardware prediction
It is often possible to greatly improve the performance of a hardware system via the use of predictive (speculative) techniques. For example, the performance of out-of-order micro...
Alan Fern, Robert Givan, Babak Falsafi, T. N. Vija...
BMCBI
2010
208views more  BMCBI 2010»
13 years 7 months ago
A multi-filter enhanced genetic ensemble system for gene selection and sample classification of microarray data
Background: Feature selection techniques are critical to the analysis of high dimensional datasets. This is especially true in gene selection from microarray data which are common...
Pengyi Yang, Bing Bing Zhou, Zili Zhang, Albert Y....
ISIWI
2000
13 years 9 months ago
Automatic Document Classification - A thorough Evaluation of various Methods
(Automatic) document classification is generally defined as content-based assignment of one or more predefined categories to documents. Usually, machine learning, statistical patt...
Christoph Goller, J. Löning, T. Will, W. Wolf...
EPS
1998
Springer
13 years 12 months ago
Genetic Programming for Automatic Target Classification and Recognition
We use the genetic programming (GP) paradigm for two tasks. The first task given a GP is the generation of rules for the target / clutter classification of a set of synthetic apert...
Stephen A. Stanhope, Jason M. Daida