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» Generalized Distance Functions in the Theory of Computation
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ICPR
2008
IEEE
15 years 11 months ago
Bregman distance to L1 regularized logistic regression
In this work we investigate the relationship between Bregman distances and regularized Logistic Regression model. We present a detailed study of Bregman Distance minimization, a f...
Mithun Das Gupta, Thomas S. Huang
86
Voted
ECCV
2006
Springer
15 years 11 months ago
Self-calibration of a General Radially Symmetric Distortion Model
Abstract. We present a new approach for self-calibrating the distortion function and the distortion center of cameras with general radially symmetric distortion. In contrast to mos...
Jean-Philippe Tardif, Peter F. Sturm, Sébas...
TIP
2010
277views more  TIP 2010»
14 years 4 months ago
Distance Regularized Level Set Evolution and Its Application to Image Segmentation
Level set methods have been widely used in image processing and computer vision. In conventional level set formulations, the level set function typically develops irregularities du...
Chunming Li, Chenyang Xu, Changfeng Gui, Martin D....
ATAL
2007
Springer
15 years 1 months ago
Model-based belief merging without distance measures
Merging operators try to define the beliefs of a group of agents according to the beliefs of each member of the group. Several model-based propositional belief merging operators h...
Verónica Borja Macías, Pilar Pozos P...
CORR
2010
Springer
84views Education» more  CORR 2010»
14 years 7 months ago
Termination Casts: A Flexible Approach to Termination with General Recursion
This paper proposes a type-and-effect system called Teq, which distinguishes terminating terms and total functions from possibly diverging terms and partial functions, for a lambd...
Aaron Stump, Vilhelm Sjöberg, Stephanie Weiri...