This paper describes a novel color texture-based image retrieval system for the query of an image database to find similar images to a target image. The retrieval process involves...
Dynamic programming for approximate string matching is a large family of different algorithms, which vary significantly in purpose, complexity, and hardware utilization. Many impl...
The paper presents a novel approach to increase the performance and/or throughput of iterative belief propagation (BP) decoding of low density parity check (LDPC) codes. The propo...
Esa Alghonaim, Aiman El-Maleh, Mohamed Adnan Lando...
Continuous attractor neural networks (CANNs) are emerging as promising models for describing the encoding of continuous stimuli in neural systems. Due to the translational invaria...
Kernel supervised learning methods can be unified by utilizing the tools from regularization theory. The duality between regularization and prior leads to interpreting regularizat...