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CVPR
2007
IEEE
16 years 8 months ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic
DAC
2007
ACM
15 years 10 months ago
Verification Methodologies in a TLM-to-RTL Design Flow
SoC based system developments commonly employ ESL design ogies and utilize multiple levels of abstract models to provide feasibility study models for architects and development pl...
Atsushi Kasuya, Tesh Tesfaye
IJCNN
2008
IEEE
16 years 1 months ago
A formula of equations of states in singular learning machines
Abstract— Almost all learning machines used in computational intelligence are not regular but singular statistical models, because they are nonidentifiable and their Fisher info...
Sumio Watanabe
JPDC
2006
94views more  JPDC 2006»
15 years 6 months ago
Exchanging messages of different sizes
This paper deals with the study of the exchange of messages among a set of processors linked through an interconnection network. We focus on general, non-uniform versions of messa...
Alfredo Goldman, Joseph G. Peters, Denis Trystram
ATAL
2009
Springer
16 years 1 months ago
A mathematical analysis of collective cognitive convergence
Multi-agent systems are an attractive approach to modeling systems of interacting entities, but in some cases mathematical models of these systems can offer complementary benefits...
H. Van Dyke Parunak