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» Unsupervised Feature Selection Using Feature Similarity
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104
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ICPR
2010
IEEE
14 years 10 months ago
User Adaptive Clustering for Large Image Databases
Abstract--Searching large image databases is a time consuming process when done manually. Current CBIR methods mostly rely on training data in specific domains. When source and dom...
Mohammad Mehdi Saboorian, Mansour Jamzad, Hamid R....
80
Voted
DLOG
2007
15 years 2 months ago
Induction of Optimal Semi-distances for Individuals based on Feature Sets
Abstract. Many activities related to semantically annotated resources can be enabled by a notion of similarity among them. We propose a method for defining a family of semi-distan...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
101
Voted
JAIR
2010
131views more  JAIR 2010»
14 years 11 months ago
Automatic Induction of Bellman-Error Features for Probabilistic Planning
Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...
Jia-Hong Wu, Robert Givan
CVPR
2004
IEEE
16 years 2 months ago
How Features of the Human Face Affect Recognition: A Statistical Comparison of Three Face Recognition Algorithms
Recognition difficulty is statistically linked to ??? subject covariate factors such as age and gender for three face recognition algorithms: principle components analysis, an int...
Geof H. Givens, J. Ross Beveridge, Bruce A. Draper...
CORR
2010
Springer
123views Education» more  CORR 2010»
14 years 11 months ago
Feature Construction for Relational Sequence Learning
Abstract. We tackle the problem of multi-class relational sequence learning using relevant patterns discovered from a set of labelled sequences. To deal with this problem, firstly...
Nicola Di Mauro, Teresa Maria Altomare Basile, Ste...