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CVPR
2010
IEEE
14 years 4 months ago
Sufficient Dimensionality Reduction for Visual Sequence Classification
When classifying high-dimensional sequence data, traditional methods (e.g., HMMs, CRFs) may require large amounts of training data to avoid overfitting. In such cases dimensional...
Alex Shyr, Raquel Urtasun, Michael Jordan
ACIVS
2008
Springer
13 years 10 months ago
A Fast and Fully Automatic Ear Recognition Approach Based on 3D Local Surface Features
Sensitivity of global features to pose, illumination and scale variations encouraged researchers to use local features for object representation and recognition. Availability of 3D...
Syed M. S. Islam, Rowan Davies, Ajmal S. Mian, Moh...
AAAI
2004
13 years 9 months ago
Reconstruction of 3D Models from Intensity Images and Partial Depth
This paper addresses the probabilistic inference of geometric structures from images. Specifically, of synthesizing range data to enhance the reconstruction of a 3D model of an in...
Luz Abril Torres-Méndez, Gregory Dudek
APVIS
2010
13 years 9 months ago
Volume visualization based on statistical transfer-function spaces
It is a difficult task to design transfer functions for noisy data. In traditional transfer-function spaces, data values of different materials overlap. In this paper we introduce...
Martin Haidacher, Daniel Patel, Stefan Bruckner, A...
BMCBI
2008
104views more  BMCBI 2008»
13 years 8 months ago
Analyzing the simplicial decomposition of spatial protein structures
Background: The fast growing Protein Data Bank contains the three-dimensional description of more than 45000 protein- and nucleic-acid structures today. The large majority of the ...
Rafael Ördög, Zoltan Szabadka, Vince Gro...