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Pattern Recognition with Fuzzy Objective Function Algorithms
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Citations
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Proceedings ArticleDOI
Image segmentation using fuzzy clustering: A survey
TL;DR: Four image segmentation algorithms using clustering, taken from the literature are reviewed and all these approaches have modified the objective function of conventional FCM and have incorporated spatial information in the objective functions of the standard FCM.
Journal ArticleDOI
Visual perception and sequences of eye movement fixations: a stochastic modeling approach
TL;DR: Interrelationships between the structure and size of the generating Markov matrices and the string editing distance shed light on the relative roles of deterministic and probabilistic processes in producing human visual scanpaths.
Journal ArticleDOI
Optimized sugeno fuzzy clustering algorithm for wireless sensor networks
Mohammad Shokouhifar,Ali Jalali +1 more
TL;DR: Simulations over 10 heterogeneous wireless sensor networks show that LEACH-SF outperforms the existing cluster-based routing protocols and can be adaptively tuned via ABC for any application.
Journal ArticleDOI
A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries
Bo Li,Yijuan Lu,Chunyuan Li,Afzal Godil,Tobias Schreck,Masaki Aono,Martin Burtscher,Qiang Chen,Nihad Karim Chowdhury,Bin Fang,Hongbo Fu,Takahiko Furuya,Haisheng Li,Jianzhuang Liu,Henry Johan,Ryuichi Kosaka,Hitoshi Koyanagi,Ryutarou Ohbuchi,Atsushi Tatsuma,Yajuan Wan,Chaoli Zhang,Changqing Zou +21 more
TL;DR: A more comprehensive comparison of twenty-six 3D shape retrieval methods is performed by evaluating them on the common benchmark, compiled to be a superset of existing benchmarks and presents a new challenge to retrieval methods.
Journal ArticleDOI
The fuzzy approach to statistical analysis
TL;DR: In spite of a growing literature concerning the development and application of fuzzy techniques in statistical analysis, the need is felt for a more systematic insight into the potentialities of cross fertilization between Statistics and Fuzzy Logic.
References
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Journal ArticleDOI
Nearest neighbor pattern classification
Thomas M. Cover,Peter E. Hart +1 more
TL;DR: The nearest neighbor decision rule assigns to an unclassified sample point the classification of the nearest of a set of previously classified points, so it may be said that half the classification information in an infinite sample set is contained in the nearest neighbor.
Book
Introduction to Statistical Pattern Recognition
TL;DR: This completely revised second edition presents an introduction to statistical pattern recognition, which is appropriate as a text for introductory courses in pattern recognition and as a reference book for workers in the field.
A fuzzy relative of the isodata process and its use in detecting compact well-separated clusters
TL;DR: In this paper, two fuzzy versions of the k-means optimal, least squared error partitioning problem are formulated for finite subsets X of a general inner product space, and the extremizing solutions are shown to be fixed points of a certain operator T on the class of fuzzy, k-partitions of X, and simple iteration of T provides an algorithm which has the descent property relative to the LSE criterion function.