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» Pose Classification Using Support Vector Machines
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ICPR
2008
IEEE
16 years 3 months ago
Facial expression analysis with facial expression deformation
In this paper, we proposes an effective and novel approach to recognize subtle facial expression method which is facial expression deformation. The proposed method deforms subtle ...
Daijin Kim, Jongju Shin, Sungsoo Park
130
Voted
JCP
2008
104views more  JCP 2008»
15 years 2 months ago
Analysis and Improved Recognition of Protein Names Using Transductive SVM
We first analyzed protein names using various dictionaries and databases and found five problems with protein names; i.e., the treatment of special characters, the treatment of hom...
Masaki Murata, Tomohiro Mitsumori, Kouichi Doi
115
Voted
ICPR
2008
IEEE
15 years 8 months ago
A scene-based video watermarking technique using SVMs
In this paper we present a scene-based video watermarking scheme using support vector machines (SVMs). In a given scene, the algorithm uses the first h′ frames to train an embed...
Shwu-Huey Yen, Hsiao-Wei Chang, Chia-Jen Wang, Pat...
177
Voted
JMLR
2010
121views more  JMLR 2010»
14 years 9 months ago
Sparse Semi-supervised Learning Using Conjugate Functions
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
Shiliang Sun, John Shawe-Taylor
IVC
2006
175views more  IVC 2006»
15 years 2 months ago
Face recognition using optimal linear components of range images
This paper investigates the use of range images of faces for recognizing people. 3D scans of faces lead to range images that are linearly projected to low-dimensional subspaces fo...
Anuj Srivastava, Xiuwen Liu, Curt Hesher