In this paper, a new recursive algorithm is proposed for optimal estimation of similarity measure used in a content-based retrieval system. This is performed through a relevance f...
Discriminative learning is challenging when examples are sets of features, and the sets vary in cardinality and lack any sort of meaningful ordering. Kernel-based classification m...
Many computer vision problems can be formulated in
a Bayesian framework with Markov Random Field (MRF)
or Conditional Random Field (CRF) priors. Usually, the
model assumes that ...
We present a new image segmentation algorithm based on graph cuts. Our main tool is separation of each pixel from a special point outside the image by a cut of a minimum cost. Suc...
This paper presents an efficient acceleration technique for the global line radiosity Multipath method. In this approach, the scene is subdivided in a hierarchy of box bounded sub...