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CVPR
2005
IEEE
14 years 6 months ago
A Bayesian Hierarchical Model for Learning Natural Scene Categories
We propose a novel approach to learn and recognize natural scene categories. Unlike previous work [9, 17], it does not require experts to annotate the training set. We represent t...
Fei-Fei Li 0002, Pietro Perona, California Institu...
TAL
2010
Springer
13 years 3 months ago
Summarization as Feature Selection for Document Categorization on Small Datasets
Abstract. Most common feature selection techniques for document categorization are supervised and require lots of training data in order to accurately capture the descriptive and d...
Emmanuel Anguiano-Hernández, Luis Villase&n...
GFKL
2005
Springer
125views Data Mining» more  GFKL 2005»
13 years 10 months ago
Towards Structure-sensitive Hypertext Categorization
Abstract. Hypertext categorization is the task of automatically assigning category labels to hypertext units. Comparable to text categorization it stays in the area of function lea...
Alexander Mehler, Rüdiger Gleim, Matthias Deh...
ICDM
2009
IEEE
97views Data Mining» more  ICDM 2009»
13 years 11 months ago
Hierarchical Probabilistic Segmentation of Discrete Events
—Segmentation, the task of splitting a long sequence of discrete symbols into chunks, can provide important information about the nature of the sequence that is understandable to...
Guy Shani, Christopher Meek, Asela Gunawardana
WIDM
2003
ACM
13 years 10 months ago
Clustering documents in a web directory
Hierarchical categorization of documents is a task receiving growing interest due to the widespread proliferation of topic hierarchies for text documents. The worst problem of hie...
Giordano Adami, Paolo Avesani, Diego Sona