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KDD
2008
ACM
199views Data Mining» more  KDD 2008»
14 years 7 months ago
Building semantic kernels for text classification using wikipedia
Document classification presents difficult challenges due to the sparsity and the high dimensionality of text data, and to the complex semantics of the natural language. The tradi...
Pu Wang, Carlotta Domeniconi
CIS
2005
Springer
14 years 1 months ago
Concept Chain Based Text Clustering
Different from familiar clustering objects, text documents have sparse data spaces. A common way of representing a document is as a bag of its component words, but the semantic re...
Shaoxu Song, Jian Zhang, Chunping Li
ICIP
2009
IEEE
14 years 8 months ago
Recognizing Human Actions By Fusing Spatio-temporal Appearance And Motion Descriptors
In this paper we propose a new method for human action categorization by using an effective combination of a new 3D gradient descriptor with an optic flow descriptor, to represent...
ICASSP
2008
IEEE
14 years 1 months ago
Fine: Information embedding for document classification
The problem of document classification considers categorizing or grouping of various document types. Each document can be represented as a bag of words, which has no straightforw...
Kevin M. Carter, Raviv Raich, Alfred O. Hero
SIGIR
2004
ACM
14 years 27 days ago
Classifying racist texts using a support vector machine
In this poster we present an overview of the techniques we used to develop and evaluate a text categorisation system for the PRINCIP project which sets out to automatically classi...
Edel Greevy, Alan F. Smeaton