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118
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FGR
2008
IEEE
304views Biometrics» more  FGR 2008»
15 years 7 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 6 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
118
Voted
NLPRS
2001
Springer
15 years 5 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...
AVSS
2005
IEEE
15 years 6 months ago
Multi-modal face image super-resolutions in tensor space
Face images of non-frontal views under poor illumination with low resolution reduce dramatically face recognition accuracy. To overcome these problems, super-resolution techniques...
Kui Jia, Shaogang Gong
ICIP
2002
IEEE
16 years 2 months ago
Learning similarity space
In this study, we suggest a method to adapt an image retrieval system into a configurable one. Basically, original feature space of a content-based retrieval system is nonlinearly...
Abdurrahman Çarkacioglu, Fatos T. Yarman-Vu...