New Approach for Segmentation and Pattern Recognition of Jacquard Images

2005 ◽  
pp. 965-970
Author(s):  
Zhilin Feng ◽  
Jianwei Yin ◽  
Zhaoyang He ◽  
Wuheng Zuo ◽  
Jinxiang Dong
Keyword(s):  
Pattern Recognition ◽  
New Approach

New Approach for Fast and Accurate Color-pattern Recognition

2008 ◽  
Author(s):  
Alexei A. Kamshilin ◽  
Laure Fauch ◽  
Ervin Nippolainen ◽  
Niklaus Ursus Wetter ◽  
Jaime Frejlich
Keyword(s):  
Pattern Recognition ◽  
Color Pattern ◽  
New Approach

Inverse Constrained Maximum Variance Mapping for Face Recognition

2013 ◽  
Vol 462-463 ◽  
pp. 452-457 ◽  
Author(s):  
Qi Rong Zhang ◽  
Jia Nan Gu ◽  
Ming Fu Zhang
Keyword(s):  
Pattern Recognition ◽  
Face Recognition ◽  
Mapping Method ◽  
Face Database ◽  
New Approach ◽  
Maximum Variance

Li et al. [Pattern Recognition 41 (2008) 3287 -- 329 proposed the constrained maximum variance mapping method. The CMVM is globally maximizing the distances between different manifolds. We find out that globally minimizing the distances between the same manifolds can have better recognition than CMVM method on the Yale face database, ORL face database and UMIST face database. Hence we propose to use an inverse constrained maximum variance mapping method (ICMVM) which can be seen as the inverse Laplacian Fisher discriminate criteria. Experiment results suggest that this new approach performs well.

A New Approach to Pattern Recognition in Fractal Ferns

2010 ◽  
Vol 1 (2) ◽  
pp. 21-28 ◽  
Author(s):  
Mamta Rani ◽  
Saurabh Goel
Keyword(s):  
Pattern Recognition ◽  
Nonlinear Analysis ◽  
New Approach ◽  
Chaos Game

In chaos game, one is randomly chosen and applied to create a new point. Repeatedly, a random rule is selected repeatedly to produce an attractor. Barnsley (2006) used chaos game in function systems, giving rise to interesting fractals by combining it with function iterations. A fractal fern is generated by taking different probabilities in the chaos game. In this paper, the authors introduce two advanced iterations from nonlinear analysis into the study of IFS for generation and pattern recognition of new fractal ferns.

A Method for Pattern Recognition

2006 ◽  
Vol 20 (4) ◽  
pp. 277-290
Author(s):  
Donna J. Brauer
Keyword(s):  
Rheumatoid Arthritis ◽  
Cluster Analysis ◽  
Pattern Recognition ◽  
Nursing Care ◽  
Knowledge Development ◽  
Clinical Settings ◽  
Environment Interaction ◽  
New Approach ◽  
Nursing Science ◽  
Sufficient Detail

Although pattern is a dominant concept in nursing science, only Newman’s method for recognizing pattern has been fully articulated and widely used in research about the human health experience. This article proposes an alternative, less costly method to facilitate research with larger numbers of participants in clinical settings. Cluster analysis, a quasi-quantitative technique, and content analysis were combined to produce a technique for recognizing patterns of person–environment interaction. Results from two studies with persons experiencing a highly variable chronic illness, rheumatoid arthritis, indicated that this new approach identifies distinct common patterns of person–environment interaction. Sufficient detail about the nature of each pattern resulted to facilitate further knowledge development about the health experience and to provide guidance in structuring nursing care.

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