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» Co-Tracking Using Semi-Supervised Support Vector Machines
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VLSISP
2010
254views more  VLSISP 2010»
15 years 29 days ago
Manifold Based Local Classifiers: Linear and Nonlinear Approaches
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
Hakan Cevikalp, Diane Larlus, Marian Neamtu, Bill ...
143
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ICRA
2010
IEEE
164views Robotics» more  ICRA 2010»
15 years 1 months ago
Boundary detection based on supervised learning
— Detecting the boundaries of objects is a key step in separating foreground objects from the background, which is useful for robotics and computer vision applications, such as o...
Kiho Kwak, Daniel F. Huber, Jeongsook Chae, Takeo ...
145
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ERCIMDL
2006
Springer
204views Education» more  ERCIMDL 2006»
15 years 6 months ago
Comparing and Combining Two Approaches to Automated Subject Classification of Text
A machine-learning and a string-matching approach to automated subject classification of text were compared, as to their performance, advantages and downsides. The former approach ...
Koraljka Golub, Anders Ardö, Dunja Mladenic, ...
MANSCI
2007
121views more  MANSCI 2007»
15 years 2 months ago
Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web
Extracting sentiment from text is a hard semantic problem. We develop a methodology for extracting small investor sentiment from stock message boards. The algorithm comprises diï¬...
Sanjiv R. Das, Mike Y. Chen
122
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ETRA
2010
ACM
197views Biometrics» more  ETRA 2010»
15 years 9 months ago
Image ranking with implicit feedback from eye movements
In order to help users navigate an image search system, one could provide explicit information on a small set of images as to which of them are relevant or not to their task. Thes...
David R. Hardoon, Kitsuchart Pasupa