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» On the Learnability of Vector Spaces
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FGR
2008
IEEE
304views Biometrics» more  FGR 2008»
15 years 4 months ago
Recovering 3D facial shape via coupled 2D/3D space learning
This paper presents a method for recovering 3D facial shape from single image via learning the relationship between the 2D intensity images and the 3D facial shapes. With a couple...
Annan Li, Shiguang Shan, Xilin Chen, Xiujuan Chai,...
ISMIS
2003
Springer
15 years 3 months ago
Space Transformation Based Approach for Effective Content-Based Image Retrieval
In this paper, we extend the work done by Choubey and Raghavan, which proposed an approach to content-based image retrieval that uses the space transformation methods proposed by G...
Biren Shah, Vijay V. Raghavan
NLPRS
2001
Springer
15 years 2 months ago
Ensembling based on Feature Space Restructuring with Application to WSD
We propose a new ensembling method of Support Vector Machines (SVMs) based on Feature Space Restructuring. In the proposed method, the weighted majority voting method is applied f...
Hiroya Takamura, Hiroyasu Yamada, Taku Kudo, Kaoru...
JCO
2010
90views more  JCO 2010»
14 years 8 months ago
The arrangement of subspaces in the orthogonal spaces and tighter analysis of an error-tolerant pooling design
In this paper, we construct a dz-disjunct matrix with the orthogonal spaces over finite fields of odd characteristic. We consider the arrangement problem of d (m−1,2(s −1),s ...
Geng-sheng Zhang, Yu-qin Yang
ICPR
2010
IEEE
14 years 7 months ago
Audio-Visual Classification and Fusion of Spontaneous Affective Data in Likelihood Space
This paper focuses on audio-visual (using facial expression, shoulder and audio cues) classification of spontaneous affect, utilising generative models for classification (i) in t...
Mihalis A. Nicolaou, Hatice Gunes, Maja Pantic