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» Boosting in the presence of noise
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JAT
2006
64views more  JAT 2006»
13 years 10 months ago
Nonlinear function approximation: Computing smooth solutions with an adaptive greedy algorithm
Opposed to linear schemes, nonlinear function approximation allows to obtain a dimension independent rate of convergence. Unfortunately, in the presence of data noise typical algo...
Andreas Hofinger
INFORMATICALT
2000
101views more  INFORMATICALT 2000»
13 years 9 months ago
Closed-loop Robust Identification Using the Indirect Approach
In the previous paper (Pupeikis, 2000) the problem of closed-loop robust identification using the direct approach in the presence of outliers in observations have been considered. ...
Rimantas Pupeikis
IVC
1998
65views more  IVC 1998»
13 years 9 months ago
Segmentation of MR images with intensity inhomogeneities
A statistical model to segment clinical magnetic resonance (MR) images in the presence of noise and intensity inhomogeneities is proposed. Inhomogeneities are considered to be mul...
Jagath C. Rajapakse, Frithjof Kruggel
PAMI
1998
93views more  PAMI 1998»
13 years 9 months ago
Stereo Matching as a Nearest-Neighbor Problem
—We propose a representation of images, called intrinsic curves, that transforms stereo matching from a search problem into a nearest-neighbor problem. Intrinsic curves are the p...
Carlo Tomasi, Roberto Manduchi
VLSISP
2002
124views more  VLSISP 2002»
13 years 9 months ago
Agglomerative Learning Algorithms for General Fuzzy Min-Max Neural Network
In this paper two agglomerative learning algorithms based on new similarity measures defined for hyperbox fuzzy sets are proposed. They are presented in a context of clustering and...
Bogdan Gabrys