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» On the Automatic Extraction of Data from the Hidden Web
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ICMCS
2006
IEEE
197views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Identify Sports Video Shots with "Happy" or "Sad" Emotions
Semantic video content extraction and selection are critical steps in sports video analysis and editing. The identification of video segments can be from various semantic perspec...
Jinjun Wang, Engsiong Chng, Changsheng Xu, Hanqing...
ICANN
2009
Springer
13 years 6 months ago
Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data
Different algorithms have been proposed in the literature to cluster gene expression data, however there is no single algorithm that can be considered the best one independently on...
André C. A. Nascimento, Ricardo Bastos Cava...
LREC
2010
237views Education» more  LREC 2010»
13 years 10 months ago
Entity Mention Detection using a Combination of Redundancy-Driven Classifiers
We present an experimental framework for Entity Mention Detection in which two different classifiers are combined to exploit Data Redundancy attained through the annotation of a l...
Silvana Marianela Bernaola Biggio, Manuela Speranz...
CVPR
2012
IEEE
11 years 11 months ago
Learning object class detectors from weakly annotated video
Object detectors are typically trained on a large set of still images annotated by bounding-boxes. This paper introduces an approach for learning object detectors from realworld w...
Alessandro Prest, Christian Leistner, Javier Civer...
NDSS
2002
IEEE
14 years 1 months ago
Detecting Steganographic Content on the Internet
Steganography is used to hide the occurrence of communication. Recent suggestions in US newspapers indicate that terrorists use steganography to communicate in secret with their a...
Niels Provos, Peter Honeyman