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IJCAI
2007
15 years 8 months ago
A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
MM
2010
ACM
137views Multimedia» more  MM 2010»
15 years 7 months ago
Unsupervised summarization of rushes videos
This paper proposes a new framework to formulate the problem of rushes video summarization as an unsupervised learning problem. We pose the problem of video summarization as one o...
Yang Liu, Feng Zhou, Wei Liu, Fernando De la Torre...
CORR
2010
Springer
101views Education» more  CORR 2010»
15 years 6 months ago
Probing Capacity
We consider the problem of optimal probing of states of a channel by transmitter and receiver for maximizing rate of reliable communication. The channel is discrete memoryless (DM...
Himanshu Asnani, Haim H. Permuter, Tsachy Weissman
MICRO
2010
IEEE
215views Hardware» more  MICRO 2010»
15 years 5 months ago
A Task-Centric Memory Model for Scalable Accelerator Architectures
This paper presents a task-centric memory model for 1000-core compute accelerators. Visual computing applications are emerging as an important class of workloads that can exploit ...
John H. Kelm, Daniel R. Johnson, Steven S. Lumetta...
215
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SIAMIS
2011
15 years 1 months ago
Locally Parallel Texture Modeling
This article presents a new adaptive framework for locally parallel texture modeling. Oscillating patterns are modeled with functionals that constrain the local Fourier decompositi...
Pierre Maurel, Jean-François Aujol, Gabriel...