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» New Algorithms for Learning in Presence of Errors
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KDD
2008
ACM
178views Data Mining» more  KDD 2008»
14 years 9 months ago
Training structural svms with kernels using sampled cuts
Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
Chun-Nam John Yu, Thorsten Joachims
ICCV
2003
IEEE
14 years 10 months ago
Facial Expression Decomposition
In this paper, we propose a novel approach for facial expression decomposition - Higher-Order Singular Value Decomposition (HOSVD), a natural generalization of matrix SVD. We lear...
Hongcheng Wang, Narendra Ahuja
IDEAL
2005
Springer
14 years 2 months ago
Probabilistic Data Generation for Deduplication and Data Linkage
Abstract. In many data mining projects the data to be analysed contains personal information, like names and addresses. Cleaning and preprocessing of such data likely involves dedu...
Peter Christen
ICPR
2004
IEEE
14 years 9 months ago
Selective Sampling Based on the Variation in Label Assignments
In this paper, a new selective sampling method for the active learning framework is presented. Initially, a small training set ? and a large unlabeled set ? are given. The goal is...
Piotr Juszczak, Robert P. W. Duin
ECIR
2004
Springer
13 years 10 months ago
Fault-Tolerant Fulltext Information Retrieval in Digital Multilingual Encyclopedias with Weighted Pattern Morphing
This paper introduces a new approach to add fault-tolerance to a fulltext retrieval system. The weighted pattern morphing technique circumvents some of the disadvantages of the wid...
Wolfram M. Esser