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» Evolutionary testing of classes
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CVPR
2005
IEEE
16 years 5 months ago
Object Class Recognition Using Multiple Layer Boosting with Heterogeneous Features
We combine local texture features (PCA-SIFT), global features (shape context), and spatial features within a single multi-layer AdaBoost model of object class recognition. The fir...
Wei Zhang 0002, Bing Yu, Gregory J. Zelinsky, Dimi...
CIKM
2009
Springer
15 years 10 months ago
Semi-supervised learning of semantic classes for query understanding: from the web and for the web
Understanding intents from search queries can improve a user’s search experience and boost a site’s advertising profits. Query tagging via statistical sequential labeling mode...
Ye-Yi Wang, Raphael Hoffmann, Xiao Li, Jakub Szyma...
137
Voted
BMCBI
2010
98views more  BMCBI 2010»
15 years 3 months ago
Prediction of protein structural classes for low-homology sequences based on predicted secondary structure
Background: Prediction of protein structural classes (a, b, a + b and a/b) from amino acid sequences is of great importance, as it is beneficial to study protein function, regulat...
Jian-Yi Yang, Zhen-Ling Peng, Xin Chen
155
Voted
IPM
2002
106views more  IPM 2002»
15 years 3 months ago
A feature mining based approach for the classification of text documents into disjoint classes
This paper proposes a new approach for classifying text documents into two disjoint classes. The new approach is based on extracting patterns, in the form of two logical expressio...
Salvador Nieto Sánchez, Evangelos Triantaph...
127
Voted
CSEE
2007
Springer
15 years 9 months ago
Practice and Transfer of Learning in the Teaching of Software Testing
Many university classes and commercial training courses rely on classroom lecture and practice exercises to help students learn new skills. The thesis work described in this paper...
Cem Kaner, Sowmya Padmanabhan