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» Bayesian Analysis of Linear Combiners
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MCS
2001
Springer
13 years 11 months ago
Error Rejection in Linearly Combined Multiple Classifiers
In this paper, the error-reject trade-off of linearly combined multiple classifiers is analysed in the framework of the minimum risk theory. Theoretical analysis described in [12,1...
Giorgio Fumera, Fabio Roli
TOG
2002
116views more  TOG 2002»
13 years 6 months ago
Linear combination of transformations
Geometric transformations are most commonly represented as square matrices in computer graphics. Following simple geometric arguments we derive a natural and geometrically meaning...
Marc Alexa
CIVR
2007
Springer
173views Image Analysis» more  CIVR 2007»
14 years 1 months ago
Fast and cheap object recognition by linear combination of views
In this paper, we present a real-time algorithm for 3D object detection in images. Our method relies on the Ullman and Basri [13] theory which claims that the same object under di...
Jérome Revaud, Guillaume Lavoué, Yas...
NIPS
2003
13 years 8 months ago
On the Concentration of Expectation and Approximate Inference in Layered Networks
We present an analysis of concentration-of-expectation phenomena in layered Bayesian networks that use generalized linear models as the local conditional probabilities. This frame...
XuanLong Nguyen, Michael I. Jordan
CORR
2010
Springer
93views Education» more  CORR 2010»
13 years 7 months ago
On MMSE and MAP Denoising Under Sparse Representation Modeling Over a Unitary Dictionary
Among the many ways to model signals, a recent approach that draws considerable attention is sparse representation modeling. In this model, the signal is assumed to be generated a...
Javier Turek, Irad Yavneh, Matan Protter, Michael ...