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» Towards Using Fewer Features for Text Classification
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ECCV
2010
Springer
13 years 8 months ago
Towards Computational Models of Visual Aesthetic Appeal of Consumer Videos
In this paper, we tackle the problem of characterizing the aesthetic appeal of consumer videos and automatically classifying them into high or low aesthetic appeal. First, we condu...
ISM
2008
IEEE
136views Multimedia» more  ISM 2008»
13 years 7 months ago
Applying Aggregation Concepts for Image Search
Through the influx of information content on the Internet, a number of image search methodologies have been presented and implemented to increase the accuracy of image retrieval i...
Brandeis Marshall, Dale-Marie Wilson
DGO
2006
136views Education» more  DGO 2006»
13 years 8 months ago
Automated classification of congressional legislation
For social science researchers, content analysis and classification of United States Congressional legislative activities has been time consuming and costly. The Library of Congre...
Stephen Purpura, Dustin Hillard
JMLR
2006
147views more  JMLR 2006»
13 years 7 months ago
Spam Filtering Based On The Analysis Of Text Information Embedded Into Images
In recent years anti-spam filters have become necessary tools for Internet service providers to face up to the continuously growing spam phenomenon. Current server-side anti-spam ...
Giorgio Fumera, Ignazio Pillai, Fabio Roli
KDD
2007
ACM
139views Data Mining» more  KDD 2007»
14 years 7 months ago
Raising the baseline for high-precision text classifiers
Many important application areas of text classifiers demand high precision and it is common to compare prospective solutions to the performance of Naive Bayes. This baseline is us...
Aleksander Kolcz, Wen-tau Yih