In this paper, we motivate and introduce a novel vector quantization (VQ) scheme for distributing the quantization error among the quantized features of a continuous feature vecto...
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
An important dimension of success in development projects is the quality of the new product. Researchers have primarily concentrated on developing and evaluating processes to redu...
Distributed Video Coding (DVC) is based on a new paradigm in coding, which has received many interests recently. This paper proposes a hybrid spatial and temporal error concealmen...
Error estimation must be used to find the accuracy of a designed classifier, an issue that is critical in biomarker discovery for disease diagnosis and prognosis in genomics and p...
Amin Zollanvari, Ulisses Braga-Neto, Edward R. Dou...