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TIP
2008
169views more  TIP 2008»
15 years 6 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht
BIBE
2007
IEEE
162views Bioinformatics» more  BIBE 2007»
16 years 1 months ago
An Investigation into the Feasibility of Detecting Microscopic Disease Using Machine Learning
— The prognosis for many cancers could be improved dramatically if they could be detected while still at the microscopic disease stage. We are investigating the possibility of de...
Mary Qu Yang, Jack Y. Yang
SPIESR
2004
131views Database» more  SPIESR 2004»
15 years 8 months ago
Audio-visual event detection based on mining of semantic audio-visual labels
Removing commercials from television programs is a much sought-after feature for a personal video recorder. In this paper, we employ an unsupervised clustering scheme (CM Detect) ...
King-Shy Goh, Koji Miyahara, Regunathan Radhakrish...
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BMCBI
2005
119views more  BMCBI 2005»
15 years 6 months ago
The distance-profile representation and its application to detection of distantly related protein families
Background: Detecting homology between remotely related protein families is an important problem in computational biology since the biological properties of uncharacterized protei...
Chin-Jen Ku, Golan Yona
TOG
1998
98views more  TOG 1998»
15 years 6 months ago
V-Clip: Fast and Robust Polyhedral Collision Detection
This paper presents the Voronoi-clip, or V-clip, collision detection algorithm for polyhedral objects specified by a boundary representation. V-clip tracks the closest pair of fe...
Brian Mirtich