Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
Linear Discriminant Analysis (LDA) is a well-known scheme for supervised subspace learning. It has been widely used in the applications of computer vision and pattern recognition....
Digital halftoning, or dithering, is the technique commonly used to render a color or grayscale image on a printer, a computer monitor or other bi-level displays. A particular hal...
In this paper, we present a novel solution to the image annotation problem which annotates images using search and data mining technologies. An accurate keyword is required to ini...
Many different methods for tracking humans were proposed in the past several years, but only a few authors examined the accuracy of the proposed systems. As the accuracy analysis ...