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PR
2007
96views more  PR 2007»
13 years 3 months ago
Style-preserving English handwriting synthesis
This paper presents a novel and effective approach to synthesize English handwriting in the user’s writing style. We select the most important features that depict the handwriti...
Zhouchen Lin, Liang Wan
PR
2007
134views more  PR 2007»
13 years 3 months ago
An elastic partial shape matching technique
We consider the problem of partial shape matching. We propose to transform shapes into sequences and utilize an algorithm that determines a subsequence of a target sequence that b...
Longin Jan Latecki, Vasileios Megalooikonomou, Qia...
PR
2007
109views more  PR 2007»
13 years 3 months ago
Knowledge-based part correspondence
This paper presents a direct method for finding corresponding pairs of parts between two shapes. Statistical knowledge about a large number of parts from many different objects is...
Boaz J. Super
PR
2007
170views more  PR 2007»
13 years 3 months ago
Conformal spherical representation of 3D genus-zero meshes
This paper describes an approach of representing 3D shape by using a set of invariant Spherical Harmonic (SH) coefficients after conformal mapping. Specifically, a genus-zero 3D ...
Hongdong Li, Richard I. Hartley
PR
2007
176views more  PR 2007»
13 years 3 months ago
A computer vision method to locate cold spots in foods in microwave sterilization processes
A major challenge in developing advanced thermal processess based on electromagnetic heating is to determine the location of cold spots in foods. A rapid and reliable method was d...
Ram Bhuwan Pandit, Juming Tang, Frank Liu, Galina ...
PR
2007
129views more  PR 2007»
13 years 3 months ago
EROS: Ensemble rough subspaces
Ensemble learning is attracting much attention from pattern recognition and machine learning domains for good generalization. Both theoretical and experimental researches show tha...
Qinghua Hu, Daren Yu, Zongxia Xie, Xiaodong Li
PR
2007
293views more  PR 2007»
13 years 3 months ago
Mean shift-based clustering
In this paper, a mean shift-based clustering algorithm is proposed. The mean shift is a kernel-type weighted mean procedure. Herein, we first discuss three classes of Gaussian, C...
Kuo-Lung Wu, Miin-Shen Yang
PR
2007
146views more  PR 2007»
13 years 3 months ago
ML-KNN: A lazy learning approach to multi-label learning
Abstract: Multi-label learning originated from the investigation of text categorization problem, where each document may belong to several predefined topics simultaneously. In mul...
Min-Ling Zhang, Zhi-Hua Zhou
PR
2007
76views more  PR 2007»
13 years 3 months ago
A semi-supervised regression model for mixed numerical and categorical variables
Michael K. Ng, Elaine Y. Chan, Meko M. C. So, Wai-...