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» Parallelizing Feature Selection
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167
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ECCV
2010
Springer
15 years 8 months ago
Building Compact Local Pairwise Codebook with Joint Feature Space Clustering
Abstract. This paper presents a simple, yet effective method of building a codebook for pairs of spatially close SIFT descriptors. Integrating such codebook into the popular bag-o...
126
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CSB
2004
IEEE
149views Bioinformatics» more  CSB 2004»
15 years 7 months ago
Weighting Features to Recognize 3D Patterns of Electron Density in X-Ray Protein Crystallography
Feature selection and weighting are central problems in pattern recognition and instance-based learning. In this work, we discuss the challenges of constructing and weighting feat...
Kreshna Gopal, Tod D. Romo, James C. Sacchettini, ...
162
Voted
AAAI
2004
15 years 5 months ago
Mining Opinion Features in Customer Reviews
It is a common practice that merchants selling products on the Web ask their customers to review the products and associated services. As e-commerce is becoming more and more popu...
Minqing Hu, Bing Liu
EMNLP
2006
15 years 5 months ago
Better Informed Training of Latent Syntactic Features
We study unsupervised methods for learning refinements of the nonterminals in a treebank. Following Matsuzaki et al. (2005) and Prescher (2005), we may for example split NP withou...
Markus Dreyer, Jason Eisner
106
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FIW
2003
115views Communications» more  FIW 2003»
15 years 5 months ago
Generalising Feature Interactions in Email
We report on a property-based approach to feature interaction analysis for a client-server email system. The model is based upon Hall’s email model [12] presented at FIW’00 [3]...
Muffy Calder, Alice Miller