3677 search results - page 701 / 736 » Is a probabilistic modeling |
SIGIR
2012
ACM
11 years 10 months ago
2012
ACM
People are seldom aware that their search queries frequently mismatch a majority of the relevant documents. This may not be a big problem for topics with a large and diverse set o...
Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
In this paper, we consider the problem of super-resolving a human face video by a very high (?16) zoom factor. Inspired by recent literature on hallucination and examplebased lear...
ECCV
2002
Springer
14 years 9 months ago
2002
Springer
In this paper, we present a stochastic algorithm by effective Markov chain Monte Carlo (MCMC) for segmenting and reconstructing 3D scenes. The objective is to segment a range image...
FOCS
2008
IEEE
14 years 2 months ago
2008
IEEE
We study the k-wise independent relaxation of the usual model G(N, p) of random graphs where, as in this model, N labeled vertices are fixed and each edge is drawn with probabili...