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JMLR
2010
202views more  JMLR 2010»
14 years 10 months ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
133
Voted
SCA
2007
15 years 6 months ago
A decision network framework for the behavioral animation of virtual humans
We introduce a framework for advanced behavioral animation in virtual humans, which addresses the challenging open problem of simulating social interactions between pedestrians in...
Qinxin Yu, Demetri Terzopoulos
ICASSP
2010
IEEE
15 years 3 months ago
Sparsity-cognizant overlapping co-clustering for behavior inference in social networks
Co-clustering can be viewed as a two-way (bilinear) factorization of a large data matrix into dense/uniform and possibly overlapping submatrix factors (co-clusters). This combinat...
Hao Zhu, Gonzalo Mateos, Georgios B. Giannakis, Ni...
SOFSEM
2007
Springer
15 years 9 months ago
A Software Architecture for Shared Resource Management in Mobile Ad Hoc Networks
We provide the implementation results of the distributed mutual exclusion algorithm based on Ricart-Agrawala algorithm for mobile ad hoc networks (MANETs) using the ns2 simulator d...
Orhan Dagdeviren, Kayhan Erciyes
90
Voted
ESANN
2003
15 years 5 months ago
An event-driven framework for the simulation of networks of spiking neurons
We propose an event-driven framework dedicated to the design and the simulation of networks of spiking neurons. It consists stract model of spiking neurons and an efficient event-d...
Olivier Rochel, Dominique Martinez