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» On the Learnability of Vector Spaces
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CVPR
2003
IEEE
15 years 12 months ago
Bayesian Tangent Shape Model: Estimating Shape and Pose Parameters via Bayesian Inference
12 In this paper we study the problem of shape analysis and its application in locating facial feature points on frontal faces. We propose a Bayesian inference solution based on ta...
Yi Zhou, Lie Gu, HongJiang Zhang
ICPR
2008
IEEE
15 years 11 months ago
Multiple view based 3D object classification using ensemble learning of local subspaces
Multiple observation improves the performance of 3D object classification. However, since the distribution of feature vectors obtained from multiple view points have strong nonlin...
Jianing Wu, Kazuhiro Fukui
PKDD
2009
Springer
88views Data Mining» more  PKDD 2009»
15 years 4 months ago
Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMs
The Support Vector Machine error bound is a function of the margin and radius. Standard SVM algorithms maximize the margin within a given feature space, therefore the radius is fi...
Huyen Do, Alexandros Kalousis, Melanie Hilario
ICDE
2007
IEEE
189views Database» more  ICDE 2007»
15 years 4 months ago
Integration of Motion Capture and EMG data for Classifying the Human Motions
Three dimensional motion capture facility is a powerful tool for quantitative and qualitative assessment of multijoint external movements. Electro-myograph (EMG) signals give the ...
Gaurav N. Pradhan, Navzer D. Engineer, Mihai Nadin...
IWMM
2007
Springer
130views Hardware» more  IWMM 2007»
15 years 4 months ago
Accordion arrays
In this work, we present accordion arrays, a straightforward and effective memory compression technique targeting Unicode-based character arrays. In many non-numeric Java programs...
Craig B. Zilles