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» Toward Optimal Feature Selection
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JMLR
2012
12 years 4 days ago
Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection
We present a unifying framework for information theoretic feature selection, bringing almost two decades of research on heuristic filter criteria under a single theoretical inter...
Gavin Brown, Adam Pocock, Ming-Jie Zhao, Mikel Luj...
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
14 years 1 months ago
Search--based approaches to the component selection and prioritization problem
This poster paper addresses the problem of choosing sets of software components to combine in component
Mark Harman, Alexandros Skaliotis, Kathleen Steinh...
SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
14 years 6 months ago
Near-optimal Supervised Feature Selection among Frequent Subgraphs.
Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, computerised scene analysis, and an...
Alexander J. Smola, Arthur Gretton, Hans-Peter Kri...
ENC
2004
IEEE
14 years 1 months ago
Feature Selection for Visual Gesture Recognition Using Hidden Markov Models
Hidden Markov models have become the preferred technique for visual recognition of human gestures. However, the recognition rate depends on the set of visual features used, and al...
José Antonio Montero, Luis Enrique Sucar
TMI
2002
155views more  TMI 2002»
13 years 9 months ago
Active Shape Model Segmentation with Optimal Features
Abstract--An active shape model segmentation scheme is presented that is steered by optimal local features, contrary to normalized first order derivative profiles, as in the origin...
Bram van Ginneken, Alejandro F. Frangi, Joes Staal...