Bidirectional associative memories
IEEE Transactions on Systems, Man and Cybernetics
Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision and Fuzzy-Neural Systems
Computer Vision and Fuzzy-Neural Systems
Content-Based Image Retrieval Based on a Fuzzy Approach
IEEE Transactions on Knowledge and Data Engineering
A new approach to image retrieval with hierarchical color clustering
IEEE Transactions on Circuits and Systems for Video Technology
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
Autonomic and cognitive possibilities for information or neural-like systems using dynamic links
WSEAS TRANSACTIONS on SYSTEMS
Autonomic and cognitive possibilities for information or neural-like systems using dynamic links
WSEAS TRANSACTIONS on SYSTEMS
Block-based motion estimation analysis for lip reading user authentication systems
WSEAS Transactions on Information Science and Applications
On-line content-based image retrieval system using joint querying and relevance feedback scheme
WSEAS Transactions on Computers
RSTC-invariant object representation with 2D modified Mellin-Fourier transform
WSEAS Transactions on Signal Processing
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With advances in the computer technology and the World Wide Web there has been an explosion in the amount and complexity of multimedia data that are generated, stored, transmitted, analyzed, and accessed. In order to extract useful information from this huge amount of data, many content-based image retrieval (CBIR) systems have been developed in the last decade. A typical CBIR system captures image features that represent image properties such as color, texture, or shape of objects in the query image and try to retrieve images from the database with similar features. Recent advances in CBIR systems include relevance feedback based interactive systems. The main advantage of CBIR systems with relevance feedback is that these systems take into account the gap between the high-level concepts and low-level features and subjectivity of human perception of visual content. In this paper, we propose a new approach for image storage and retrieval called association-based image retrieval (ABIR). We try to mimic human memory. The human brain stores and retrieves images by association. We use a generalized bi-directional associative memory (GBAM) to store associations between feature vectors. The results of our simulation are presented in the paper.