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» Learning probabilistic models of the Web
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CVPR
2008
IEEE
16 years 7 months ago
3D occlusion recovery using few cameras
We present a practical framework for detecting and modeling 3D static occlusions for wide-baseline, multi-camera scenarios where the number of cameras is small. The framework cons...
Mark A. Keck, James W. Davis
ADC
2006
Springer
188views Database» more  ADC 2006»
15 years 11 months ago
Discovering task-oriented usage pattern for web recommendation
Web transaction data usually convey user task-oriented behaviour pattern. Web usage mining technique is able to capture such informative knowledge about user task pattern from usa...
Guandong Xu, Yanchun Zhang, Xiaofang Zhou
AIWORC
2000
IEEE
15 years 10 months ago
Distance Learning Using Web-Based Multimedia Environment
The "schooling industry" is faced with an inescapable demand to redefine its endeavors in terms of producing learning, rather than providing instructions. We propose a h...
Khalid J. Siddiqui, Junaid Ahmed Zubairi
CVPR
2011
IEEE
15 years 1 months ago
On Deep Generative Models with Applications to Recognition
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Marc', Aurelio Ranzato, Joshua Susskind, Volodymyr...
139
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ICANN
2007
Springer
15 years 11 months ago
Structure Learning with Nonparametric Decomposable Models
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
Anton Schwaighofer, Mathäus Dejori, Volker Tr...