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» Temporal Data Classification Using Linear Classifiers
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TNN
2008
182views more  TNN 2008»
15 years 2 months ago
Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...
Ivor Wai-Hung Tsang, András Kocsor, James T...
138
Voted
ECCV
2008
Springer
16 years 4 months ago
Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...
Andrew Gilbert, John Illingworth, Richard Bowden
139
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EAI
2004
15 years 3 months ago
Integrating Product Catalogs via Multi-language Ontologies
A vertically integrated market consists of potentially competing companies who supply each other with products and services. Information technology can be employed to improve the b...
Manfred A. Jeusfeld
COMPSAC
2005
IEEE
15 years 8 months ago
Recovering "Lack of Words" in Text Categorization for Item Banks
PKIP, Patterned Keywords in Phrase, is our feature selection approach to text categorization (TC) for item banks. An item bank is a collection of textual data in which each item c...
Atorn Nuntiyagul, Nick Cercone, Kanlaya Naruedomku...
KDD
2003
ACM
243views Data Mining» more  KDD 2003»
16 years 2 months ago
Accurate decision trees for mining high-speed data streams
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...
João Gama, Pedro Medas, Ricardo Rocha