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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 6 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
ASAP
2009
IEEE
182views Hardware» more  ASAP 2009»
16 years 3 months ago
NeMo: A Platform for Neural Modelling of Spiking Neurons Using GPUs
—Simulating spiking neural networks is of great interest to scientists wanting to model the functioning of the brain. However, large-scale models are expensive to simulate due to...
Andreas Fidjeland, Etienne B. Roesch, Murray Shana...
3DPVT
2006
IEEE
183views Visualization» more  3DPVT 2006»
16 years 7 days ago
High-Quality Real-Time Stereo Using Adaptive Cost Aggregation and Dynamic Programming
We present a stereo algorithm that achieves high quality results while maintaining real-time performance. The key idea is simple: we introduce an adaptive aggregation step in a dy...
Liang Wang, Miao Liao, Minglun Gong, Ruigang Yang,...
AINA
2006
IEEE
16 years 7 days ago
Model-based Management of Embedded Service Systems - An Applied Approach
The automatic integration of devices into dynamic, automatically configured networks alone does not take advantage of the entire potential of Service Oriented Architectures (SOA)...
Stefan Illner, Heiko Krumm, Ingo Lück, Andre ...
CVPR
2001
IEEE
16 years 8 months ago
Clustering Art
We extend a recently developed method [1] for learning the semantics of image databases using text and pictures. We incorporate statistical natural language processing in order to...
Kobus Barnard, Pinar Duygulu, David A. Forsyth