3049 search results - page 6 / 610 » On the Convergence of Bound Optimization Algorithms |
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
This paper presents an algorithm for recovering the globally optimal 2D human figure detection using a loopy graph model. This is computationally challenging because the time comp...
COLT
2007
Springer
14 years 1 months ago
2007
Springer
Bounded parameter Markov Decision Processes (BMDPs) address the issue of dealing with uncertainty in the parameters of a Markov Decision Process (MDP). Unlike the case of an MDP, t...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
We study the problem of maximizing the broadcast rate in peer-to-peer (P2P) systems under node degree bounds, i.e., the number of neighbors a node can simultaneously connect to is ...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
CVPR
2011
IEEE
13 years 4 months ago
2011
IEEE
The goal of natural image denoising is to estimate a clean version of a given noisy image, utilizing prior knowledge on the statistics of natural images. The problem has been stud...