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» When Can Formal Methods Make a Real Difference
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ECCV
2000
Springer
15 years 7 months ago
Factorization with Uncertainty
Factorization using Singular Value Decomposition (SVD) is often used for recovering 3D shape and motion from feature correspondences across multiple views. SVD is powerful at find...
Michal Irani, P. Anandan
AAMAS
2005
Springer
15 years 3 months ago
Learning and Exploiting Relative Weaknesses of Opponent Agents
Agents in a competitive interaction can greatly benefit from adapting to a particular adversary, rather than using the same general strategy against all opponents. One method of s...
Shaul Markovitch, Ronit Reger
140
Voted
CVPR
2006
IEEE
16 years 5 months ago
Clustering Appearance for Scene Analysis
We propose a new approach called "appearance clustering" for scene analysis. The key idea in this approach is that the scene points can be clustered according to their s...
Sanjeev J. Koppal, Srinivasa G. Narasimhan
149
Voted
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
16 years 3 months ago
Cross domain distribution adaptation via kernel mapping
When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the...
ErHeng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiang...
132
Voted
COLING
1992
15 years 4 months ago
The Proper Treatment Of Word Order In HPSG
: This paper describes a possibility of expressing ordering constraints among non-sister constituents in binary branching syntactic structures on a local basis, supported by viewin...
Karel Oliva