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NAACL
2001
13 years 9 months ago
Chunking with Support Vector Machines
We apply Support Vector Machines (SVMs) to identify English base phrases (chunks). SVMs are known to achieve high generalization performance even with input data of high dimension...
Taku Kudo, Yuji Matsumoto
KDD
2006
ACM
165views Data Mining» more  KDD 2006»
14 years 8 months ago
Training linear SVMs in linear time
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Thorsten Joachims
NAACL
2010
13 years 5 months ago
Language identification of names with SVMs
The task of identifying the language of text or utterances has a number of applications in natural language processing. Language identification has traditionally been approached w...
Aditya Bhargava, Grzegorz Kondrak
FGR
2008
IEEE
358views Biometrics» more  FGR 2008»
14 years 2 months ago
Automatic 3D face reconstruction from single images or video
This paper presents a fully automated algorithm for reconstructing a textured 3D model of a face from a single photograph or a raw video stream. The algorithm is based on a combin...
Pia Breuer, Kwang In Kim, Wolf Kienzle, Bernhard S...
ICPR
2004
IEEE
14 years 8 months ago
Multi-View Face Detection under Complex Scene based on Combined SVMs
A single face classifier has difficulty in detecting multiview faces under real and complex scenes due to various poses, cluttering environment and small size of faces. In this pa...
Peng Wang, Qiang Ji