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» Classification as Mining and Use of Labeled Itemsets
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ICCV
2009
IEEE
13 years 5 months ago
Fast realistic multi-action recognition using mined dense spatio-temporal features
Within the field of action recognition, features and descriptors are often engineered to be sparse and invariant to transformation. While sparsity makes the problem tractable, it ...
Andrew Gilbert, John Illingworth, Richard Bowden
KDD
2009
ACM
237views Data Mining» more  KDD 2009»
14 years 8 months ago
Exploring social tagging graph for web object classification
This paper studies web object classification problem with the novel exploration of social tags. Automatically classifying web objects into manageable semantic categories has long ...
Zhijun Yin, Rui Li, Qiaozhu Mei, Jiawei Han
KDD
2002
ACM
157views Data Mining» more  KDD 2002»
14 years 7 months ago
Exploiting unlabeled data in ensemble methods
An adaptive semi-supervised ensemble method, ASSEMBLE, is proposed that constructs classification ensembles based on both labeled and unlabeled data. ASSEMBLE alternates between a...
Kristin P. Bennett, Ayhan Demiriz, Richard Maclin
SDM
2010
SIAM
192views Data Mining» more  SDM 2010»
13 years 8 months ago
Fast and Accurate Gene Prediction by Decision Tree Classification
Gene prediction is one of the most challenging tasks in genome analysis, for which many tools have been developed and are still evolving. In this paper, we present a novel gene pr...
Rong She, Jeffrey Shih-Chieh Chu, Ke Wang, Nanshen...
WWW
2010
ACM
13 years 7 months ago
Cross-domain sentiment classification via spectral feature alignment
Sentiment classification aims to automatically predict sentiment polarity (e.g., positive or negative) of users publishing sentiment data (e.g., reviews, blogs). Although traditio...
Sinno Jialin Pan, Xiaochuan Ni, Jian-Tao Sun, Qian...