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BMCBI
2006
159views more  BMCBI 2006»
14 years 11 months ago
Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures
Background: The structure of proteins may change as a result of the inherent flexibility of some protein regions. We develop and explore probabilistic machine learning methods for...
Mikael Bodén, Zheng Yuan, Timothy L. Bailey
ASPDAC
2000
ACM
154views Hardware» more  ASPDAC 2000»
15 years 4 months ago
Dynamic weighting Monte Carlo for constrained floorplan designs in mixed signal application
Simulated annealing has been one of the most popular stochastic optimization methods used in the VLSI CAD field in the past two decades for handling NP-hard optimization problems...
Jason Cong, Tianming Kong, Faming Liang, Jun S. Li...
PAMI
2002
112views more  PAMI 2002»
14 years 11 months ago
Recognizing Handwritten Digits Using Hierarchical Products of Experts
The product of experts learning procedure [1] can discover a set of stochastic binary features that constitute a nonlinear generative model of handwritten images of digits. The qua...
Guy Mayraz, Geoffrey E. Hinton
93
Voted
IROS
2009
IEEE
205views Robotics» more  IROS 2009»
15 years 6 months ago
Probabilistic categorization of kitchen objects in table settings with a composite sensor
— In this paper, we investigate the problem of 3D object categorization of objects typically present in kitchen environments, from data acquired using a composite sensor. Our fra...
Zoltan Csaba Marton, Radu Bogdan Rusu, Dominik Jai...
159
Voted

Publication
485views
14 years 13 days ago
Incremental Activity Modelling in Multiple Disjoint Cameras
Activity modelling and unusual event detection in a network of cameras is challenging particularly when the camera views are not overlapped. We show that it is possible to detect u...
Chen Change Loy, Tao Xiang, Shaogang Gong