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» Adaptive Online Data Compression
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154
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ICMCS
2009
IEEE
97views Multimedia» more  ICMCS 2009»
14 years 10 months ago
Some new directions in graph-based semi-supervised learning
In this position paper, we first review the state-of-the-art in graph-based semi-supervised learning, and point out three limitations that are particularly relevant to multimedia ...
Xiaojin Zhu, Andrew B. Goldberg, Tushar Khot
ICIP
1997
IEEE
15 years 4 months ago
Object Based Video with Progressive Foreground
A novel algorithm is described for coding objects in video compression systems which gives complete control over the bit allocation to the video objects. The method is evaluated b...
Donald M. Monro, Huijuan Li, J. A. Nicholls
105
Voted
ECAI
2006
Springer
15 years 4 months ago
Least Squares SVM for Least Squares TD Learning
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...
Tobias Jung, Daniel Polani
ICRA
2008
IEEE
229views Robotics» more  ICRA 2008»
15 years 6 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
112
Voted
ICRA
2007
IEEE
189views Robotics» more  ICRA 2007»
15 years 6 months ago
Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
Georgios Petkos, Sethu Vijayakumar