Open AccessBook
Pattern Recognition with Fuzzy Objective Function Algorithms
Reads0
Chats0
TLDR
Books, as a source that may involve the facts, opinion, literature, religion, and many others are the great friends to join with, becomes what you need to get.Abstract:
New updated! The latest book from a very famous author finally comes out. Book of pattern recognition with fuzzy objective function algorithms, as an amazing reference becomes what you need to get. What's for is this book? Are you still thinking for what the book is? Well, this is what you probably will get. You should have made proper choices for your better life. Book, as a source that may involve the facts, opinion, literature, religion, and many others are the great friends to join with.read more
Citations
More filters
Journal ArticleDOI
Improving performance of similarity-based clustering by feature weight learning
D.S. Yeung,Xizhao Wang +1 more
TL;DR: The paper shows that, by using gradient descent technique to learn the feature weights, the clustering performance can be significantly improved and the method helps to reduce the uncertainty (fuzziness and nonspecificity) of the similarity matrix.
Journal ArticleDOI
A New Weighted Fuzzy C-Means Clustering Algorithm for Remotely Sensed Image Classification
TL;DR: Experimental results demonstrate that the proposed clustering algorithm will generate better clustering results than those of FCM and FWCM algorithms, in particularly for hyperspectral images.
Journal IssueDOI
Data clustering as an optimum-path forest problem with applications in image analysis
TL;DR: An approach for data clustering based on optimum-path forest with advantages over other pdf-based approaches and extensions to large datasets with results for interactive image segmentation and for fast, accurate, and automatic brain tissue classification in magnetic resonance (MR) images is proposed.
Proceedings ArticleDOI
Hierarchical movie affective content analysis based on arousal and valence features
TL;DR: This paper proposes a hierarchical structure for emotion categories and analyze emotion intensity and emotion type by using arousal and valence related features hierarchically and shows the movie segments with high emotion intensity cover over 80% of the movie highlights in Horror and Action movies.
Journal ArticleDOI
Two-stage hierarchical video summary extraction to match low-level user browsing preferences
Ahmet Mufit Ferman,A.M. Tekalp +1 more
TL;DR: A two-stage framework to generate MPEG-7-compliant hierarchical key frame summaries of video sequences by reducing the number of key frames to match the low-level browsing preferences of a user is proposed.
References
More filters
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.