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» Approximate Learning of Dynamic Models
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JMLR
2008
159views more  JMLR 2008»
15 years 4 months ago
Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction
Existing template-independent web data extraction approaches adopt highly ineffective decoupled strategies--attempting to do data record detection and attribute labeling in two se...
Jun Zhu, Zaiqing Nie, Bo Zhang, Ji-Rong Wen
ASC
2004
15 years 4 months ago
Neural network-based colonoscopic diagnosis using on-line learning and differential evolution
In this paper, on-line training of neural networks is investigated in the context of computer-assisted colonoscopic diagnosis. A memory-based adaptation of the learning rate for t...
George D. Magoulas, Vassilis P. Plagianakos, Micha...
ANTSW
2008
Springer
15 years 6 months ago
Modeling Phase Transition in Self-organized Mobile Robot Flocks
We implement a self-organized flocking behavior in a group of mobile robots and analyze its transition from an aligned state to an unaligned state. We briefly describe the robot an...
Ali Emre Turgut, Cristián Huepe, Hande &Cce...
CVPR
2006
IEEE
16 years 6 months ago
Recursive estimation of generative models of video
In this paper we present a generative model and learning procedure for unsupervised video clustering into scenes. The work addresses two important problems: realistic modeling of ...
Nemanja Petrovic, Aleksandar Ivanovic, Nebojsa Joj...
CDC
2009
IEEE
15 years 9 months ago
Dynamic practical stabilization of sampled-data linear distributed parameter systems
Abstract— In this paper, dynamic practical stability properties of infinite-dimensional sampled-data systems are discussed. A family of finite-dimensional discrete-time control...
Ying Tan, Emmanuel Trélat, Yacine Chitour, ...