1900 search results - page 143 / 380 » Gaussian Processes for Machine Learning |
133
Voted
ICCV
2003
IEEE
16 years 4 months ago
2003
IEEE
This paper addresses the problem of applying powerful pattern recognition algorithms based on kernels to efficient visual tracking. Recently Avidan [1] has shown that object recog...
116
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ICIP
2002
IEEE
16 years 3 months ago
2002
IEEE
In this work, we explore the use of a learning-based framework for retrieval of relevant mammogram images from a database, for purposes of aiding diagnoses. A fundamental issue is...
117
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ISOLA
2007
Springer
15 years 8 months ago
2007
Springer
The testing and formal verification of black box software components is a challenging domain. The problem is even harder when specifications of these components are not available...
212
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SIGMOD
2007
ACM
16 years 2 months ago
2007
ACM
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
101
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ECTEL
2007
Springer
15 years 8 months ago
2007
Springer
IMS Learning Design (LD) is a specification that aims at computationally representing any learning process. However, the possibilities of LD to represent collaborative learning sce...