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» Support Vector Machines: Theory and Applications
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ICRA
2008
IEEE
229views Robotics» more  ICRA 2008»
14 years 1 months ago
Learning of moving cast shadows for dynamic environments
Abstract— We propose a novel online framework for detecting moving shadows in video sequences using statistical learning techniques. In this framework, Support Vector Machines ar...
Ajay J. Joshi, Nikolaos Papanikolopoulos
ICDM
2007
IEEE
157views Data Mining» more  ICDM 2007»
14 years 1 months ago
Failure Prediction in IBM BlueGene/L Event Logs
Frequent failures are becoming a serious concern to the community of high-end computing, especially when the applications and the underlying systems rapidly grow in size and compl...
Yinglung Liang, Yanyong Zhang, Hui Xiong, Ramendra...
ICDM
2006
IEEE
119views Data Mining» more  ICDM 2006»
14 years 1 months ago
Fast On-line Kernel Learning for Trees
Kernel methods have been shown to be very effective for applications requiring the modeling of structured objects. However kernels for structures usually are too computational dem...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
ICDM
2006
IEEE
164views Data Mining» more  ICDM 2006»
14 years 1 months ago
Unsupervised Learning of Tree Alignment Models for Information Extraction
We propose an algorithm for extracting fields from HTML search results. The output of the algorithm is a database table– a data structure that better lends itself to high-level...
Philip Zigoris, Damian Eads, Yi Zhang
ICMCS
2006
IEEE
131views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Self-Supervised Learning for Robust Video Indexing
The performance of video analysis and indexing algorithms strongly depends on the type, content and recording characteristics of the analyzed video. Current video indexing approac...
Ralph Ewerth, Bernd Freisleben