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» MILCS: a mutual information learning classifier system
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AI
2005
Springer
14 years 9 months ago
Unsupervised named-entity extraction from the Web: An experimental study
The KNOWITALL system aims to automate the tedious process of extracting large collections of facts (e.g., names of scientists or politicians) from the Web in an unsupervised, doma...
Oren Etzioni, Michael J. Cafarella, Doug Downey, A...
WWW
2009
ACM
15 years 10 months ago
Link based small sample learning for web spam detection
Robust statistical learning based web spam detection system often requires large amounts of labeled training data. However, labeled samples are more difficult, expensive and time ...
Guanggang Geng, Qiudan Li, Xinchang Zhang
MM
2004
ACM
142views Multimedia» more  MM 2004»
15 years 2 months ago
Learning query-class dependent weights in automatic video retrieval
Combining retrieval results from multiple modalities plays a crucial role for video retrieval systems, especially for automatic video retrieval systems without any user feedback a...
Rong Yan, Jun Yang 0003, Alexander G. Hauptmann
ECCV
2006
Springer
15 years 11 months ago
Learning and Incorporating Top-Down Cues in Image Segmentation
Abstract. Bottom-up approaches, which rely mainly on continuity principles, are often insufficient to form accurate segments in natural images. In order to improve performance, rec...
Xuming He, Richard S. Zemel, Debajyoti Ray
MM
2005
ACM
139views Multimedia» more  MM 2005»
15 years 3 months ago
Multimodal affect recognition in learning environments
We propose a multi-sensor affect recognition system and evaluate it on the challenging task of classifying interest (or disinterest) in children trying to solve an educational pu...
Ashish Kapoor, Rosalind W. Picard