Knowledgeand sample-based learning approaches play a pivotal role in image processing. However, the acquisition and integration of expert knowledge (for the former) and providing a sufficiently large number of training samples (for the latter) are generally hard to perform and time-consuming tasks. Hence, learning image processing tasks from a few gold/groundtruth samples, prepared by the user,...

A major use of the bootstrap methodology is in the construction of nonparametric confidence intervals. Although no consensus has yet been reached on the best way to proceed, theoretical and empirical evidence indicate that bootstrap-t intervals provide a reasonable solution to this problem. However, when applied to small data sets, these intervals can be unusually wide and unstable. The author ...

In this work, we present coding techniques that enable progressive transmission when trellis coded quantization (TCQ) is applied to wavelet coefficients. A method for approximately inverting TCQ in the absence of least significant bits is developed. Results are presented using different rate allocation strategies and different entropy coders. The proposed wavelet-TCQ coder yields excellent codi...

This paper considers the joint problem of dirty-paper and Wyner-Ziv coding with partial host information at the receiver. The rate-distortion and the capacity expressions have been derived for the Gaussian case. It is shown that the availability of the partial host information to the receiver has positive effects to the compression performance and the overall capacity. Moreover, a practical cod...

background: the present study was carried out to investigate the accurate status of ovine theileria infection in sheep from ahvaz and surrounding region, a tropical area southwest iran. methods: a pcr-rflp method based on 18s ribosomal rna gene was designed which could detect and differentiate theileria and babesia spp. and also differentiate main theileria species in sheep at the same time. 11...