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CVPR
2007
IEEE
14 years 9 months ago
Feature Extraction by Maximizing the Average Neighborhood Margin
A novel algorithm called Average Neighborhood Margin Maximization (ANMM) is proposed for supervised linear feature extraction. For each data point, ANMM aims at pulling the neighb...
Fei Wang, Changshui Zhang
DASFAA
2008
IEEE
120views Database» more  DASFAA 2008»
14 years 2 months ago
Knowledge Transferring Via Implicit Link Analysis
In this paper, we design a local classification algorithm using implicit link analysis, considering the situation that the labeled and unlabeled data are drawn from two different ...
Xiao Ling, Wenyuan Dai, Gui-Rong Xue, Yong Yu
ICPR
2008
IEEE
14 years 2 months ago
Applying similarity metrics to 3D acquisition in structured-light systems
Structured light systems use projected light to augment a scene with extra information. The goal of such systems is often the recovery of depth information based on 2D image(s) fr...
Graylin T. Jay, Randy Smith
ICPR
2008
IEEE
14 years 2 months ago
Semi-supervised marginal discriminant analysis based on QR decomposition
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
Rui Xiao, Pengfei Shi
CORR
2010
Springer
122views Education» more  CORR 2010»
13 years 7 months ago
How to meet asynchronously (almost) everywhere
Two mobile agents (robots) with distinct labels have to meet in an arbitrary, possibly infinite, unknown connected graph or in an unknown connected terrain in the plane. Agents ar...
Jurek Czyzowicz, Arnaud Labourel, Andrzej Pelc