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TKDE
2012
192views Formal Methods» more  TKDE 2012»
13 years 4 months ago
Discriminative Feature Selection by Nonparametric Bayes Error Minimization
Feature selection is fundamental to knowledge discovery from massive amount of high-dimensional data. In an effort to establish theoretical justification for feature selection al...
Shuang-Hong Yang, Bao-Gang Hu
159
Voted
ARCS
2012
Springer
13 years 9 months ago
Fast Scenario-Based Design Space Exploration using Feature Selection
: This paper presents a novel approach to efficiently perform early system level design space exploration (DSE) of MultiProcessor System-on-Chip (MPSoC) based embedded systems. By...
Peter van Stralen, Andy D. Pimentel
CVPR
2012
IEEE
13 years 4 months ago
Boosting algorithms for simultaneous feature extraction and selection
The problem of simultaneous feature extraction and selection, for classifier design, is considered. A new framework is proposed, based on boosting algorithms that can either 1) s...
Mohammad J. Saberian, Nuno Vasconcelos
142
Voted
ICDAR
2009
IEEE
14 years 11 months ago
Separate Chinese Character and English Character by Cascade Classifier and Feature Selection
The separation of Chinese character and English character is helpful for OCR technique. In this paper, a multi-level cascade classifier combined with feature selection is construc...
Yuanping Zhu, Jun Sun 0004, Akihiro Minagawa, Yosh...
168
Voted
JMLR
2012
13 years 4 months 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...