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» Parallelizing Feature Selection
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119
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SPLC
2008
15 years 4 months ago
Automated Diagnosis of Product-Line Configuration Errors in Feature Models
Feature models are widely used to model software product-line (SPL) variability. SPL variants are configured by selecting feature sets that satisfy feature model constraints. Conf...
Jules White, Douglas C. Schmidt, David Benavides, ...
CVPR
2007
IEEE
16 years 4 months ago
Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
Fabien Scalzo, Justus H. Piater
120
Voted
JAIR
2010
131views more  JAIR 2010»
15 years 1 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
101
Voted
ICMCS
2007
IEEE
192views Multimedia» more  ICMCS 2007»
15 years 9 months ago
Effective Extraction of Gabor Features for Adaptive Mammogram Retrieval
Breast cancer is one of the most common diseases among women. Content-based mammogram retrieval has been proposed to aid various medical procedures. To develop a content-based mam...
Chia-Hung Wei, Yue Li, Chang-Tsun Li
104
Voted
ICPR
2010
IEEE
15 years 22 days ago
Performance Evaluation of Automatic Feature Discovery Focused within Error Clusters
We report performance evaluation of our automatic feature discovery method on the publicly available Gisette dataset: a set of 29 features discovered by our method ranks 129 among...
Sui-Yu Wang, Henry S. Baird