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» Comparing Computer Models Solving Number Series Problems
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UC
2009
Springer
15 years 4 months ago
Resource-Competing Oscillator Network as a Model of Amoeba-Based Neurocomputer
Abstract. An amoeboid organism, Physarum, exhibits rich spatiotemporal oscillatory behavior and various computational capabilities. Previously, the authors created a recurrent neur...
Masashi Aono, Yoshito Hirata, Masahiko Hara, Kazuy...
ECCV
2002
Springer
15 years 11 months ago
Surface Extraction from Volumetric Images Using Deformable Meshes: A Comparative Study
Abstract. Deformable models are by their formulation able to solve surface extraction problem from noisy volumetric images. This is since they use image independent information, in...
Jussi Tohka
PDCAT
2005
Springer
15 years 3 months ago
A New Algorithm to Solve Synchronous Consensus for Dependent Failures
Fault tolerant algorithms are often designed under the t-out-of-n assumption, which is based on the assumption that all processes or components fail independently with equal proba...
Jun Wang, Min Song
65
Voted
ICCV
2009
IEEE
16 years 2 months ago
Efficient Discriminative Learning of Parts-based Models
Supervised learning of a parts-based model can be for- mulated as an optimization problem with a large (exponen- tial in the number of parts) set of constraints. We show how thi...
M. Pawan Kumar, Andrew Zisserman, Philip H.S. Torr
CVPR
2006
IEEE
15 years 11 months ago
Solving Markov Random Fields using Second Order Cone Programming Relaxations
This paper presents a generic method for solving Markov random fields (MRF) by formulating the problem of MAP estimation as 0-1 quadratic programming (QP). Though in general solvi...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...