Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
International Journal of Computer Vision
Machine Learning
Shape measures for content based image retrieval: a comparison
Information Processing and Management: an International Journal
The Random Subspace Method for Constructing Decision Forests
IEEE Transactions on Pattern Analysis and Machine Intelligence
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Support vector machine active learning for image retrieval
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Visually Searching the Web for Content
IEEE MultiMedia
Transductive Confidence Machines for Pattern Recognition
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Dynamic Programming
Introduction to MPEG-7: Multimedia Content Description Interface
Introduction to MPEG-7: Multimedia Content Description Interface
QCluster: relevance feedback using adaptive clustering for content-based image retrieval
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
A New Fuzzy Support Vector Machine Based on the Weighted Margin
Neural Processing Letters
Content-based image retrieval: approaches and trends of the new age
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
A Unified Log-Based Relevance Feedback Scheme for Image Retrieval
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting outliers using transduction and statistical testing
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Dynamic Programming: A Computational Tool (Studies in Computational Intelligence)
Dynamic Programming: A Computational Tool (Studies in Computational Intelligence)
A Graph-Theoretic Approach to Nonparametric Cluster Analysis
IEEE Transactions on Computers
Image retrieval based on relevance feedback using fuzzy support vector machines
Image retrieval based on relevance feedback using fuzzy support vector machines
Random sampling based SVM for relevance feedback image retrieval
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Fuzzy SVM ensembles for relevance feedback in image retrieval
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Fuzzy SVM for content-based image retrieval: a pseudo-label support vector machine framework
IEEE Computational Intelligence Magazine
An efficient color representation for image retrieval
IEEE Transactions on Image Processing
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
A soft relevance framework in content-based image retrieval systems
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Neural Networks
Optimized image resizing using seam carving and scaling
ACM SIGGRAPH Asia 2009 papers
Regression application based on fuzzy ν-support vector machine in symmetric triangular fuzzy space
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Relevance feedback based on genetic programming for image retrieval
Pattern Recognition Letters
An effective image retrieval scheme using color, texture and shape features
Computer Standards & Interfaces
Fuzzy clustering algorithms for unsupervised change detection in remote sensing images
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
The forecasting model based on fuzzy novel ν-support vector machine
Expert Systems with Applications: An International Journal
Computer Vision and Image Understanding
Engineering Applications of Artificial Intelligence
Directed enumeration method in image recognition
Pattern Recognition
Active SVM-based relevance feedback using multiple classifiers ensemble and features reweighting
Engineering Applications of Artificial Intelligence
A new content-based image retrieval technique using color and texture information
Computers and Electrical Engineering
A non-parametric unsupervised approach for content based image retrieval and clustering
Proceedings of the 4th ACM/IEEE international workshop on Analysis and retrieval of tracked events and motion in imagery stream
Fast K-means algorithm based on a level histogram for image retrieval
Expert Systems with Applications: An International Journal
Content-based image retrieval by integrating color and texture features
Multimedia Tools and Applications
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Image retrieval is an active research area in image processing, pattern recognition, and computer vision. Relevance feedback has been widely accepted in the field of content-based image retrieval (CBIR) as a method to boost the retrieval performance. Recently, many researchers have employed support vector machines (SVMs) for relevance feedback. This paper presents a fuzzy support vector machine (FSVM) that is more robust to the four major problems encountered by the conventional SVMs: small size of samples, biased hyperplane, over-fitting, and real-time. To improve the performance, a dominant color descriptor (DCD) is also proposed. Experimental results based on a set of Corel images demonstrate that the proposed system performs much better than the previous methods. It achieves high accuracy and reduces the processing time greatly.