There has been a recent resurgence of interest in research on noisy and incomplete data. Many applications require information to be recovered from such data. For example, in sens...
Junyi Xie, Jun Yang 0001, Yuguo Chen, Haixun Wang,...
—LDA transformation is one of the popular feature dimension reduction techniques for the feature extraction in most handwritten Chinese characters recognition systems. The integr...
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...
There is a growing need to access historical Ottoman documents stored in large archives and therefore managing tools for automatic searching, indexing and transcription of these d...
Sampling issue is an important problem in image based rendering. In this paper, we propose an adaptive sampling method to improve the Layered Depth Image framework. Different from...