CVPR
2011
IEEE
13 years 5 months ago
2011
IEEE
Unsupervised categorization of objects is a fundamental problem in computer vision. While appearance-based methods have become popular recently, other important cues like function...
IADIS
2009
13 years 7 months ago
2009
We explore techniques for detecting news articles containing invalid information, using the help of text categorization technology. The information that exists on the World Wide W...
IPM
2007
13 years 9 months ago
2007
The number of patent documents is currently rising rapidly worldwide, creating the need for an automatic categorization system to replace time-consuming and labor-intensive manual...
PR
2008
13 years 9 months ago
2008
Clustering algorithms are increasingly employed for the categorization of image databases, in order to provide users with database overviews and make their access more effective. ...
IPM
2006
13 years 9 months ago
2006
A new dictionary-based text categorization approach is proposed to classify the chemical web pages efficiently. Using a chemistry dictionary, the approach can extract chemistry-re...
MM
2010
ACM
13 years 9 months ago
2010
ACM
This paper presents a method for movie genre categorization of movie trailers, based on scene categorization. We view our approach as a step forward from using only low-level visu...
NDDL
2001
13 years 10 months ago
2001
In this work, we present a system for categorizing photographs based on the text of their captions. The system has been developed as a part of the system CODI, an e-commerce applic...
HIS
2003
13 years 10 months ago
2003
Abstract. Categorization is a central task in cognitive science and artificial intelligence. Efficient reasoning about categories is becoming of great importance as intelligent a...
DMIN
2007
13 years 10 months ago
2007
—The information that exists on the World Wide Web is enormous enough in order to distract the users when trying to find useful information. In order to overcome the large amount...
ACL
2008
13 years 10 months ago
2008
This paper presents an approach to text categorization that i) uses no machine learning and ii) reacts on-the-fly to unknown words. These features are important for categorizing B...