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» Application of Level Set Methods in Computer Vision
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ECIR
2009
Springer
16 years 3 months ago
On Automatic Plagiarism Detection Based on n-Grams Comparison
Abstract. When automatic plagiarism detection is carried out considering a reference corpus, a suspicious text is compared to a set of original documents in order to relate the pla...
Alberto Barrón-Cedeño, Paolo Rosso
MLG
2007
Springer
16 years 27 days ago
A Universal Kernel for Learning Regular Languages
We give a universal kernel that renders all the regular languages linearly separable. We are not able to compute this kernel efficiently and conjecture that it is intractable, but...
Leonid Kontorovich
ICASSP
2010
IEEE
15 years 5 months ago
Human detection in images via L1-norm Minimization Learning
In recent years, sparse representation originating from signal compressed sensing theory has attracted increasing interest in computer vision research community. However, to our b...
Ran Xu, Baochang Zhang, Qixiang Ye, Jianbin Jiao
EMMCVPR
2007
Springer
16 years 28 days ago
Shape Classification Based on Skeleton Path Similarity
Most of the traditional methods for shape classification are based on contour. They often encounter difficulties when dealing with classes that have large nonlinear variability, es...
Xingwei Yang, Xiang Bai, Deguang Yu, Longin Jan La...
PAMI
2007
156views more  PAMI 2007»
15 years 6 months ago
Selection and Fusion of Color Models for Image Feature Detection
—The choice of a color model is of great importance for many computer vision algorithms (e.g., feature detection, object recognition, and tracking) as the chosen color model indu...
Harro M. G. Stokman, Theo Gevers