Package ‘ cvq 2 ’

DWT and CVQ based image coding for a low bit rate - Electronics Letters

A low hit rate coding method using the discrete wavelet transform (DWT), and classified vector quantisation (CVQ) is presented. An image is decomposed by DWT; then, the transformed image is encoded by CVQ. The proposed method allows the decoder to self-generate the class information for CVQ rather than requiring that it be received from the encoder. This results in improved compression performa...

Modeling Cellular Processes with Variational Bayesian Cooperative Vector Quantizer

Gene expression of a cell is controlled by sophisticated cellular processes. The capability of inferring the states of these cellular processes would provide insight into the mechanism of gene expression control system. In this paper, we propose and investigate the cooperative vector quantizer (CVQ) model for analysis of microarray data. The CVQ model could be capable of decomposing observed mi...

A Novel Vector Quantization Approach to Arabic Character Recognition

In this paper, a novel approach to Arabic letter recognition is proposed. The system is based on the classified vector quantization (CVQ) technique employing the minimum distance classifier. To prove the robustness of the CVQ system, its performance is compared to that of a standard artificial neural network (ANN)-based solution. In the CVQ system, each input letter is mapped to its class using...

MRT based Adaptive Transform Coder with Classified Vector Quantization (MATC-CVQ)

Enhanced continuous valued Q-learning for real autonomous robots

Q-learning, a most widely used reinforcement learning method, normally needs well-defined quantized state and action spaces to obtain an optimal policy for accomplishing a given task. This makes it difficult to be applied to real robot tasks because of poor performance of learned behavior due to the failure of quantization of continuous state and action spaces. To deal with this problem, we pro...