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» A fractal representation for real optimization
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97
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ICCV
2005
IEEE
15 years 6 months ago
Non-Negative Lighting and Specular Object Recognition
Recognition of specular objects is particularly difficult because their appearance is much more sensitive to lighting changes than that of Lambertian objects. We consider an appr...
Sameer Shirdhonkar, David W. Jacobs
CP
1998
Springer
15 years 4 months ago
Modelling CSP Solution Algorithms with Petri Decision Nets
The constraint paradigm provides powerful concepts to represent and solve different kinds of planning problems, e. g. factory scheduling. Factory scheduling is a demanding optimiz...
Stephan Pontow
102
Voted
CVPR
2010
IEEE
15 years 3 months ago
Multi-View Scene Flow Estimation: A View Centered Variational Approach
We present a novel method for recovering the 3D structure and scene flow from calibrated multi-view sequences. We propose a 3D point cloud parametrization of the 3D structure and ...
Tali Bahsa, Yael Moses, Nahum Kiryati
PRL
2006
139views more  PRL 2006»
15 years 8 days ago
Adaptive Hausdorff distances and dynamic clustering of symbolic interval data
This paper presents a partitional dynamic clustering method for interval data based on adaptive Hausdorff distances. Dynamic clustering algorithms are iterative two-step relocatio...
Francisco de A. T. de Carvalho, Renata M. C. R. de...
TKDE
2008
115views more  TKDE 2008»
15 years 7 days ago
A Niching Memetic Algorithm for Simultaneous Clustering and Feature Selection
Clustering is inherently a difficult task and is made even more difficult when the selection of relevant features is also an issue. In this paper, we propose an approach for simult...
Weiguo Sheng, Xiaohui Liu, Michael C. Fairhurst