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» Robust Kernel Principal Component Analysis
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ICCV
2005
IEEE
14 years 9 months ago
Neighborhood Preserving Embedding
Recently there has been a lot of interest in geometrically motivated approaches to data analysis in high dimensional spaces. We consider the case where data is drawn from sampling...
Xiaofei He, Deng Cai, Shuicheng Yan, HongJiang Zha...
3DIM
2001
IEEE
13 years 11 months ago
Reconstruction of Complex Environments by Robust Pre-aligned ICP
This paper proposes a technique for three-dimensional reconstruction of an underwater environment from range views acquired by an acoustic camera. The final target of the work lie...
Vittorio Murino, Lucca Ronchetti, Umberto Castella...
FTML
2010
159views more  FTML 2010»
13 years 6 months ago
Dimension Reduction: A Guided Tour
We give a tutorial overview of several geometric methods for dimension reduction. We divide the methods into projective methods and methods that model the manifold on which the da...
Christopher J. C. Burges
FAST
2011
12 years 11 months ago
Making the Common Case the Only Case with Anticipatory Memory Allocation
We present Anticipatory Memory Allocation (AMA), a new method to build kernel code that is robust to memoryallocation failures. AMA avoids the usual difficulties in handling allo...
Swaminathan Sundararaman, Yupu Zhang, Sriram Subra...
CCGRID
2008
IEEE
14 years 2 months ago
Using Dynamic Condor-Based Services for Classifying Schizophrenia in Diffusion Tensor Images
— Diffusion Tensor Imaging (DTI) provides insight into the white matter of the human brain, which is affected by Schizophrenia. By comparing a patient group to a control group, t...
Simon Caton, Matthan Caan, Sílvia Delgado O...