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INFORMATICASI
2002
91views more  INFORMATICASI 2002»
14 years 11 months ago
Using Image Segmentation as a Basis for Categorization
Image categorization is the problem of classifying images into one or more of several possible categories or classes, which are defined in advance. Classifiers can be trained usin...
Janez Brank
ICMCS
2006
IEEE
134views Multimedia» more  ICMCS 2006»
15 years 5 months ago
Motion Segmentation of 3D Video using Modified Shape Distribution
In this paper, temporal segmentation of 3D video based on motion analysis is presented. 3D video is a sequence of 3D models made for a real-world dynamic object. A modified shape ...
Toshihiko Yamasaki, Kiyoharu Aizawa
ICDAR
2005
IEEE
15 years 5 months ago
Unconstrained Numeral Pair Recognition Using Enhanced Error Correcting Output Coding: A Holistic Approach
– This paper describes a new approach to recognize touching numeral strings. Currently most methods for numeral string recognition require segmenting the string image into separa...
Jie Zhou, Ching Y. Suen
BILDMED
2008
123views Algorithms» more  BILDMED 2008»
15 years 1 months ago
Flow Quantification from 2D Phase Contrast MRI in Renal Arteries Using Clustering
Abstract. We present an approach based on clustering to segment renal arteries from 2D PC Cine MR images to measure blood velocity and flow. Such information are important in gradi...
Frank Zöllner, Jan Ankar Monnsen, Arvid Lunde...
ICML
2007
IEEE
16 years 16 days ago
Support cluster machine
For large-scale classification problems, the training samples can be clustered beforehand as a downsampling pre-process, and then only the obtained clusters are used for training....
Bin Li, Mingmin Chi, Jianping Fan, Xiangyang Xue