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» Local Smoothing for Manifold Learning
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ICPR
2010
IEEE
13 years 9 months ago
Geodesic Active Fields on the Sphere
In this paper, we propose a novel method to register images defined on spherical meshes. Instances of such spherical images include inflated cortical feature maps in brain medical ...
Dominique Zosso, Jean-Philippe Thiran
CVPR
2010
IEEE
14 years 27 days ago
Dynamic Surface Matching by Geodesic Mapping for 3D Animation Transfer
This paper presents a novel approach that achieves complete matching of 3D dynamic surfaces. Surfaces are captured from multi-view video data and represented by sequences of 3D ma...
Tony Tung, Takashi Matsuyama
PAMI
2010
225views more  PAMI 2010»
13 years 2 months ago
Semi-Supervised Classification via Local Spline Regression
Abstract--This paper presents local spline regression for semisupervised classification. The core idea in our approach is to introduce splines developed in Sobolev space to map the...
Shiming Xiang, Feiping Nie, Changshui Zhang
CORR
2010
Springer
103views Education» more  CORR 2010»
13 years 7 months ago
Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning
We propose a direct reconstruction algorithm for Computed Tomography, based on a local fusion of a few preliminary image estimates by means of a non-linear fusion rule. One such ru...
Joseph Shtok, Michael Zibulevsky, Michael Elad
ICCV
2007
IEEE
14 years 9 months ago
Semi-supervised Discriminant Analysis
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. The projection vectors are commonly obtained by maximizing ...
Deng Cai, Xiaofei He, Jiawei Han