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SIAMSC
2010
155views more  SIAMSC 2010»
13 years 2 months ago
Quasi-Newton Methods on Grassmannians and Multilinear Approximations of Tensors
In this paper we proposed quasi-Newton and limited memory quasi-Newton methods for objective functions defined on Grassmannians or a product of Grassmannians. Specifically we defin...
Berkant Savas, Lek-Heng Lim
CVPR
2012
IEEE
11 years 10 months ago
KNN matting
We are interested in a general alpha matting approach for the simultaneous extraction of multiple image layers; each layer may have disjoint segments for material matting not limi...
Qifeng Chen, Dingzeyu Li, Chi-Keung Tang
CVPR
2006
IEEE
14 years 9 months ago
Training Deformable Models for Localization
We present a new method for training deformable models. Assume that we have training images where part locations have been labeled. Typically, one fits a model by maximizing the l...
Deva Ramanan, Cristian Sminchisescu
TIP
2002
126views more  TIP 2002»
13 years 7 months ago
Template matching based object recognition with unknown geometric parameters
In this paper, we examine the problem of locating an object in an image when size and rotation are unknown. Previous work has shown that with known geometric parameters, an image r...
Roger M. Dufour, Eric L. Miller, Nikolas P. Galats...
TMI
2008
127views more  TMI 2008»
13 years 7 months ago
Restoration of DWI Data Using a Rician LMMSE Estimator
Abstract--This paper introduces and analyzes a linear minimum mean square error (LMMSE) estimator using a Rician noise model and its recursive version (RLMMSE) for the restoration ...
Santiago Aja-Fernández, Marc Niethammer, Ma...