Kernel machines rely on an implicit mapping of the data such that non-linear classification in the original space corresponds to linear classification in the new space. As kernel ...
The problem of large-scale image search has been traditionally addressed with the bag-of-visual-words (BOV). In this article, we propose to use as an alternative the Fisher kernel...
Florent Perronnin, Yan Liu, Jorge Sanchez, Herve P...
Abstract. The Fisher kernel (FK) is a generic framework which combines the benefits of generative and discriminative approaches. In the context of image classification the FK was s...
This paper considers the problem of distributed source coding for a large sensor network. A typical shortcoming of current approaches to true distributed coding is the exponential...
Abstract--This paper presents the application of a componentbased Grid middleware system for processing extremely large images obtained from digital microscopy devices. We have dev...
Vijay S. Kumar, Benjamin Rutt, Tahsin M. Kur&ccedi...