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» Dynamically Adapting Kernels in Support Vector Machines
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JCP
2007
154views more  JCP 2007»
15 years 3 months ago
Partially Reconfigurable Vector Processor for Embedded Applications
—Embedded systems normally involve a combination of hardware and software resources designed to perform dedicated tasks. Such systems have widely crept into industrial control, a...
Muhammad Z. Hasan, Sotirios G. Ziavras
ICRA
2008
IEEE
229views Robotics» more  ICRA 2008»
15 years 10 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
141
Voted
ECTEL
2009
Springer
15 years 10 months ago
Supporting Virtual Reality in an Adaptive Web-Based Learning Environment
Virtual Reality (VR) is gaining in popularity and its added value for learning is being recognized. However, its richness in representation and manipulation possibilities may also ...
Olga De Troyer, Frederic Kleinermann, Bram Pellens...
PAMI
2010
122views more  PAMI 2010»
15 years 2 months ago
Domain Adaptation Problems: A DASVM Classification Technique and a Circular Validation Strategy
—This paper addresses pattern classification in the framework of domain adaptation by considering methods that solve problems in which training data are assumed to be available o...
Lorenzo Bruzzone, Mattia Marconcini
ECML
2004
Springer
15 years 9 months ago
Fisher Kernels for Logical Sequences
One approach to improve the accuracy of classifications based on generative models is to combine them with successful discriminative algorithms. Fisher kernels were developed to c...
Kristian Kersting, Thomas Gärtner