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» A selective sampling approach to active feature selection
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IJCV
2011
264views more  IJCV 2011»
14 years 8 months ago
Cost-Sensitive Active Visual Category Learning
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Sudheendra Vijayanarasimhan, Kristen Grauman
ICAISC
2004
Springer
15 years 7 months ago
An Evolutionary Algorithm for Oblique Decision Tree Induction
In the paper, a new evolutionary approach to induction of oblique decision trees is described. In each non-terminal node, the specialized evolutionary algorithm is applied to searc...
Marek Kretowski
ECML
2007
Springer
15 years 8 months ago
Optimizing Feature Sets for Structured Data
Choosing a suitable feature representation for structured data is a non-trivial task due to the vast number of potential candidates. Ideally, one would like to pick a small, but in...
Ulrich Rückert, Stefan Kramer
EMNLP
2006
15 years 3 months ago
Feature Subsumption for Opinion Analysis
Lexical features are key to many approaches to sentiment analysis and opinion detection. A variety of representations have been used, including single words, multi-word Ngrams, ph...
Ellen Riloff, Siddharth Patwardhan, Janyce Wiebe
123
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ACCV
2007
Springer
15 years 8 months ago
Multiperspective Distortion Correction Using Collineations
We present a new framework for correcting multiperspective distortions using collineations. A collineation describes the transformation between the images of a camera due to change...
Yuanyuan Ding and Jingyi Yu