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» A Discourse on Complexity of Process Models
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AI
2011
Springer
14 years 11 months ago
SampleSearch: Importance sampling in presence of determinism
The paper focuses on developing effective importance sampling algorithms for mixed probabilistic and deterministic graphical models. The use of importance sampling in such graphi...
Vibhav Gogate, Rina Dechter
ICASSP
2011
IEEE
14 years 8 months ago
Variational methods for spectral unmixing of hyperspectral images
This paper studies a variational Bayesian unmixing algorithm for hyperspectral images based on the standard linear mixing model. Each pixel of the image is modeled as a linear com...
Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourner...
ICCV
2005
IEEE
16 years 6 months ago
Object Recognition in High Clutter Images Using Line Features
We present an object recognition algorithm that uses model and image line features to locate complex objects in high clutter environments. Finding correspondences between model an...
Philip David, Daniel DeMenthon
WWW
2004
ACM
16 years 5 months ago
Graph-based text database for knowledge discovery
While we expect to discover knowledge in the texts available on the Web, such discovery usually requires many complex analysis steps, most of which require different text handling...
Junji Tomita, Hidekazu Nakawatase, Megumi Ishii
ICTAI
2009
IEEE
15 years 11 months ago
EBLearn: Open-Source Energy-Based Learning in C++
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...
Pierre Sermanet, Koray Kavukcuoglu, Yann LeCun