This paper overviews a set of Performance Evaluation
ToolS (PETS) for zone segmentation and classification. The
tools allow researchers and developers to evaluate, optimize
and ...
We consider the problem of classification in nonadaptive dimensionality reduction. Specifically, we bound the increase in classification error of Fisher’s Linear Discriminant...
We propose a novel stochastic graph matching algorithm based on data-driven Markov Chain Monte Carlo (DDMCMC) sampling technique. The algorithm explores the solution space efficien...
This paper introduces a binarization method based on edge for video text images, especially for images with complex background or low contrast. The binarization method first detec...
We consider a simple statistical model of the image, in which the image is represented as a sum of two parts: one part is explained by an i.i.d. color Gaussian mixture and the oth...