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Pattern Recognition with Fuzzy Objective Function Algorithms
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Citations
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Variability and classification of remote sensing reflectance spectra in the eastern English Channel and southern North Sea
Bertrand Lubac,Hubert Loisel +1 more
TL;DR: In-water hyperspectral remote sensing reflectances (Rrs) were acquired simultaneously with measurements of optically significant parameters at 93 stations in the eastern English Channel and southern North Sea to assess the mechanisms regulating the ocean color variability in a complex coastal environment as mentioned in this paper.
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Multi-attribute fuzzy time series method based on fuzzy clustering
TL;DR: The forecasting results show that the proposed method can forecast not only one-attribute but also multiple-attribute data effectively and outperform the listing methods.
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An adaptive neuro-fuzzy system for automatic image segmentation and edge detection
V. Boskovitz,Hugo Guterman +1 more
TL;DR: An autoadaptive neuro-fuzzy segmentation and edge detection architecture is presented that consists of a multilayer perceptron (MLP)-like network that performs image segmentation by adaptive thresholding of the input image using labels automatically pre-selected by a fuzzy clustering technique.
Journal ArticleDOI
Dynamic fuzzy wavelet neuroemulator for non‐linear control of irregular building structures
Xiaomo Jiang,Hojjat Adeli +1 more
TL;DR: In this article, a dynamic fuzzy wavelet neuroemulator is presented for predicting the structural response in future time steps, which is validated using two irregular 3D steel building structures, a 12-story structure with vertical setbacks and an 8-story Structure with plan irregularity.
Journal ArticleDOI
Findings from a participatory evaluation of a smart home application for older adults
TL;DR: Using the participatory evaluation process, residents guided the research team through development and implementation of the initial phase of a smart home project designed to assist residents to remain functionally independent and age in place.
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.