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DTW–RADON-BASED SHAPE DESCRIPTOR FOR PATTERN RECOGNITION
2013
International journal of pattern recognition and artificial intelligence
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In this paper, we present a pattern recognition method that uses dynamic programming (DP) for the alignment of Radon features. ...
To reduce the possible number of matchings, we rely on a initial normalisation based on the pattern orientation. ...
INTRODUCTION
Context Automatic recognition, description, classification and grouping of patterns are important issues in many disciplines such as biology, computer vision, artificial intelligence or ...
doi:10.1142/s0218001413500080
fatcat:2c3jy5zt3nexzjme3qjf3vy77y
A STATIC SIGNATURE VERIFICATION SYSTEM BASED ON A COOPERATING NEURAL NETWORKS ARCHITECTURE
1994
International journal of pattern recognition and artificial intelligence
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IJPRAI on Automatic Signature Verification, 1994, 8 (3), pp.679 -692. <hal-00829478> ...
doi:10.1142/s021800149400036x
fatcat:xwk4l36t7ngz5jsjfxmvppycni
SEMI-SUPERVISED SEQUENCE CLASSIFICATION WITH HMMs
2005
International journal of pattern recognition and artificial intelligence
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We examine three different strategies of using labeled and unlabeled data in the model training process. ...
The effect of model complexity on semi-supervised learning is also studied in our experiments. ...
Castelli and Cover [5] proved that labeled examples are exponentially more valuable than unlabeled examples in pattern recognition tasks. ...
doi:10.1142/s0218001405004034
fatcat:zl6gee7l7feo5hsbtl3ipluf4i
ACCURATE IMAGE RETRIEVAL BASED ON COMPACT COMPOSITE DESCRIPTORS AND RELEVANCE FEEDBACK INFORMATION
2010
International journal of pattern recognition and artificial intelligence
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y kzagoris@ee.duth.gr z ybout@ee.duth.gr x papamark@ee.duth.gr In this paper a new set of descriptors appropriate for image indexing and retrieval is proposed. ...
Experiments conducted on¯ve benchmarking image databases demonstrate the e®ectiveness of the proposed descriptors in outperforming other state-of-the-art descriptors. ...
Funds (25%) from the Greek Ministry of Development -General Secretariat of Research and Technology and (75%) from the E.U. ...
doi:10.1142/s0218001410007890
fatcat:7si6uk2qlvc3nag5d3uyisivnm
FEATURES OF DERIVATIVE CONTINUITY IN SHAPE
1999
International journal of pattern recognition and artificial intelligence
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On Pattern Analysis and Machine Intelligence, 20(12) (1998) 1376-
L. ...
These
derlie the measures of fractile dimension for natural scaling patterns and have been
fy a wide range of apparent fractile patterns in nature. ...
doi:10.1142/s0218001499000677
fatcat:rmfjatiz3zejdiudpct3izs7wi
Document Representation with Statistical Word Senses in Cross-Lingual Document Clustering
2015
International journal of pattern recognition and artificial intelligence
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Evaluation on the benchmarking datasets shows that the proposed models outperform two 1 November 10, 2014 15:25 WSPC/INSTRUCTION FILE ijprai-clslda-r1 2 Guoyu Tang et al. state-of-the-art methods for cross-lingual ...
Cross-lingual document clustering is the task of automatically organizing a large collection of multi-lingual documents into a few clusters, depending on their content or topic. ...
of arm#1 and #1 are similar. ...
doi:10.1142/s021800141559003x
fatcat:eevqzoolcjhlxex523jjm2q74m
Finger Vein Verification with Vein Textons
2015
International journal of pattern recognition and artificial intelligence
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Finger vein pattern has become one of the most promising biometric identifiers. In this paper, a robust method based on Bag of Words (BoW) is developed for finger vein verification. ...
Firstly, some robust and discriminative visual words are learned from local base features such as Local Binary Pattern (LBP), Mean Curvature and Webber Local Descriptor (WLD). ...
Finger Vein Verification With Vein Textons 9
MLA database was collected using the capturing device manufactured by the Joint Lab for Intelligent Computing and Intelligent System of Wuhan University ...
doi:10.1142/s0218001415560030
fatcat:e64e2p2y4jhfnm24gftgsd7tva
BOOSTED GAUSSIAN CLASSIFIER WITH INTEGRAL HISTOGRAM FOR FACE DETECTION
2007
International journal of pattern recognition and artificial intelligence
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The results of experiment demonstrate that classifiers with corresponding features are more powerful to describe the face pattern than haar-like rectangle features introduced by Viola and Jones. ...
The filter banks consist of Intensity, Laplacian of Gaussian (Difference of Gaussians), and Gabor filters, aiming at capturing spatial and frequency properties of faces at different scales and orientations ...
We assume that a set of reference patterns (templates) are available in this section. ...
doi:10.1142/s0218001407005880
fatcat:e77j2kjakfbyhohekwsk73rhwy
Teaching Computer Vision to Computer Scientists
1998
International journal of pattern recognition and artificial intelligence
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The paper then provides a review of a number of the currently available computer vision textbooks. These texts differ significantly in their coverage, scope, approach, and audience. ...
Computer vision is a broad-based field of computer science that requires students to understand and integrate knowledge from numerous disciplines. ...
Davies presents an overview of ANNs, and then discusses their use in both filtering and pattern recognition. ...
doi:10.1142/s0218001498000580
fatcat:vrttqs5oxrcctgh3ciele6v6zq
FEATURE SELECTION BASED ON MINIMUM ERROR MINIMAX PROBABILITY MACHINE
2007
International journal of pattern recognition and artificial intelligence
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Feature selection is an important task in pattern recognition. ...
In this paper, we outline MEMPM to select the optimal feature subset with good stability and automatic balance between prediction accuracy and the size of feature subset. ...
CUHK4205/04E and Project No. CUHK4235/04E). ...
doi:10.1142/s0218001407005958
fatcat:ltmatujpcbam3ihsxxszbiqidi
NONLINEAR FEATURE EXTRACTION USING FISHER CRITERION
2008
International journal of pattern recognition and artificial intelligence
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The proposed method is applied to some standard pattern recognition problems and compared with other classical methodologies already proposed in the literature. ...
However, there are some pattern recognition problems where 41 classes are quite inbred and using linear transformations is not enough to get good classification results. ...
Pattern recognition and data mining are some of the fields benefited 27 by these developments. ...
doi:10.1142/s0218001408006715
fatcat:zdque3j3mndb7jx2bkkp4wyqui
SKELETONIZATION WITH PARTICLE FILTERS
2010
International journal of pattern recognition and artificial intelligence
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Moreover, we propose an extension of our method to computing skeletons of gray level images and provide promising experimental results. ...
We present a novel method to obtain high quality skeletons of binary shapes. The obtained skeletons are connected and one pixel thick. They do not require any pruning or any other postprocessing. ...
He has published over 175 research papers and books. He is an editorial board member of Pattern Recognition and International Journal of Mathematical Imaging. ...
doi:10.1142/s021800141000807x
fatcat:t6tyv5zdqbaldejjfc5ydtjaxi
Robust Face Recognition Providing the Identity and Its Reliability Degree Combining Sparse Representation and Multiple Features
2016
International journal of pattern recognition and artificial intelligence
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For decades face recognition (FR) has attracted a lot of attention, and several systems have been successfully developed to solve this problem. ...
Extended experiments on several challenging databases (frontal faces of Extended YaleB, BANCA, FRGC v2.0, and frontal faces of Multi-PIE) show that our method outperforms several state-of-the-art sparse ...
W LDA } ← DictionaryConstructon(G) comment: sparsification of the image T
May 5, 2016 14:59 WSPC/INSTRUCTION FILE main˙IJPRAI Face recognition with reliability degree via sparse representation 7
Table ...
doi:10.1142/s0218001416560073
fatcat:2w2mtegxevf7bmgozdqcjqen34
Reliability Estimation Measure: Generic Discounting Approach
2015
International journal of pattern recognition and artificial intelligence
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Two different measures of uncertainty exist which are the intrinsic and extrinsic ones. ...
In the belief function theory, several measures of uncertainty have been introduced. One of their possible use is unreliable source discounting before the fusion stage. ...
Thanks are also due to the anonymous reviewers for their constructive and helpful comments and suggestions which have been in help to improve the quality of this paper. ...
doi:10.1142/s0218001415590119
fatcat:lapi35gzy5glvhdl37yzltbdvi
LEARNING TO ASSEMBLE CLASSIFIERS VIA GENETIC PROGRAMMING
2014
International journal of pattern recognition and artificial intelligence
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However, linear fusion functions may not effectively exploit individual models' redundancy and diversity. ...
A detailed empirical assessment is carried out to validate the effectiveness of the proposed approach. ...
Acknowledgments This work was partly supported by the National Council of Science and Technology of Mexico (CONACyT) through scholarship grant 287045. ...
doi:10.1142/s0218001414600052
fatcat:pcxl6j5h2zg7roodudnnzcg26m
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