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AAAI
2011
12 years 7 months ago
Sparse Matrix-Variate t Process Blockmodels
We consider the problem of modeling network interactions and identifying latent groups of network nodes. This problem is challenging due to the facts i) that the network nodes are...
Zenglin Xu, Feng Yan, Yuan Qi
CIMCA
2008
IEEE
14 years 2 months ago
Tree Exploration for Bayesian RL Exploration
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
Christos Dimitrakakis
ICCV
2007
IEEE
14 years 9 months ago
Applications of parametric maxflow in computer vision
The maximum flow algorithm for minimizing energy functions of binary variables has become a standard tool in computer vision. In many cases, unary costs of the energy depend linea...
Vladimir Kolmogorov, Yuri Boykov, Carsten Rother
ECAI
2000
Springer
13 years 12 months ago
Towards Real-Time Search with Inadmissible Heuristics
Real-time search has two aspects, one as an efficient search method (in a single problem solving trial), and the other as an overall problem solving architecture with learning abi...
Masashi Shimbo, Toru Ishida
CVHI
2007
13 years 9 months ago
Haptic and Aural Graphs Exploration for Visually Impaired Users
: Several web sites and e-learning platforms require the access to graphs that carry significant meanings. Understanding and perceiving the graph of a mathematical function is impo...
Thimoty Barbieri, Lorenzo Mosca, Licia Sbattella