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SDM
2007
SIAM
182views Data Mining» more  SDM 2007»
13 years 11 months ago
Distance Preserving Dimension Reduction for Manifold Learning
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
Hyunsoo Kim, Haesun Park, Hongyuan Zha
PKDD
2010
Springer
178views Data Mining» more  PKDD 2010»
13 years 8 months ago
Large-Scale Support Vector Learning with Structural Kernels
Abstract. In this paper, we present an extensive study of the cuttingplane algorithm (CPA) applied to structural kernels for advanced text classification on large datasets. In par...
Aliaksei Severyn, Alessandro Moschitti
PKDD
2010
Springer
143views Data Mining» more  PKDD 2010»
13 years 7 months ago
A Unified Approach to Active Dual Supervision for Labeling Features and Examples
Abstract. When faced with the task of building accurate classifiers, active learning is often a beneficial tool for minimizing the requisite costs of human annotation. Traditional ...
Josh Attenberg, Prem Melville, Foster J. Provost
WWW
2003
ACM
14 years 10 months ago
Functionality-Based Web Image Categorization
The World Wide Web provides an increasingly powerful and popular publication mechanism. Web documents often contain a large number of images serving various different purposes. Id...
Jianying Hu, Amit Bagga
WIDM
2009
ACM
14 years 4 months ago
Semantic relatedness hits bibliographic data
In this paper we introduce a novel approach for the thematic organization of bibliographic records that builds upon a semantic relatedness measure we have implemented for this tas...
George Tsatsaronis, Iraklis Varlamis, Sofia Stamou...