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» Explicit Local Models: Towards
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AUTOMATICA
2010
99views more  AUTOMATICA 2010»
13 years 7 months ago
Two nonlinear optimization methods for black box identification compared
: In this paper, two nonlinear optimization methods for the identification of nonlinear systems are compared. Both methods estimate all the parameters of a polynomial nonlinear sta...
Anne Van Mulders, Johan Schoukens, Marnix Volckaer...
PAMI
2008
161views more  PAMI 2008»
13 years 7 months ago
TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
CVPR
2008
IEEE
14 years 9 months ago
Learning for stereo vision using the structured support vector machine
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
Yunpeng Li, Daniel P. Huttenlocher
SIPS
2008
IEEE
14 years 2 months ago
The support of software design patterns for streaming RPC on embedded multicore processors
The development of embedded system has been toward the multicore architectures in the recent years. It raises concerns in the community of supporting programming models and langua...
Kun-Yuan Hsieh, Yen-Chih Liu, Chi-Hua Lai, Jenq Ku...
ENTCS
2008
102views more  ENTCS 2008»
13 years 7 months ago
Encoding Distributed Process Calculi into LMNtal
Towards a unifying model of concurrency, we have designed and implemented LMNtal (pronounced "elemental"), a model and language based on hierarchical graph rewriting tha...
Kazunori Ueda