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» On the Noise Model of Support Vector Machines Regression
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TMM
2010
270views Management» more  TMM 2010»
13 years 14 days ago
Sequence Multi-Labeling: A Unified Video Annotation Scheme With Spatial and Temporal Context
Abstract--Automatic video annotation is a challenging yet important problem for content-based video indexing and retrieval. In most existing works, annotation is formulated as a mu...
Yuanning Li, YongHong Tian, Ling-Yu Duan, Jingjing...
ICPR
2008
IEEE
14 years 7 months ago
Multiple kernel learning from sets of partially matching image features
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
Guo ShengYang, Min Tan, Si-Yao Fu, Zeng-Guang Hou,...
KDD
2002
ACM
170views Data Mining» more  KDD 2002»
14 years 6 months ago
Enhanced word clustering for hierarchical text classification
In this paper we propose a new information-theoretic divisive algorithm for word clustering applied to text classification. In previous work, such "distributional clustering&...
Inderjit S. Dhillon, Subramanyam Mallela, Rahul Ku...
MOBISYS
2007
ACM
14 years 5 months ago
Context browsing with mobiles - when less is more
Except for a handful of "mobile" Web sites, the Web is designed for browsing with personal computers with large screens capable of fitting the content of most Web pages....
Yevgen Borodin, Jalal Mahmud, I. V. Ramakrishnan
ERCIMDL
2006
Springer
204views Education» more  ERCIMDL 2006»
13 years 9 months ago
Comparing and Combining Two Approaches to Automated Subject Classification of Text
A machine-learning and a string-matching approach to automated subject classification of text were compared, as to their performance, advantages and downsides. The former approach ...
Koraljka Golub, Anders Ardö, Dunja Mladenic, ...