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JMLR
2010
192views more  JMLR 2010»
13 years 3 months ago
Efficient Learning of Deep Boltzmann Machines
We present a new approximate inference algorithm for Deep Boltzmann Machines (DBM's), a generative model with many layers of hidden variables. The algorithm learns a separate...
Ruslan Salakhutdinov, Hugo Larochelle
CP
2003
Springer
14 years 2 months ago
Open Constraint Optimization
Constraint satisfaction has been applied with great success in closed-world scenarios, where all options and constraints are known from the beginning and fixed. With the internet,...
Boi Faltings, Santiago Macho-Gonzalez
ICNP
2003
IEEE
14 years 2 months ago
Delay Analysis of IEEE 802.11 in Single-Hop Networks
This paper presents an analytical model to compute the average service time and jitter experienced by a packet when transmitted in a saturated IEEE 802.11 ad hoc network. In contr...
Marcelo M. Carvalho, J. J. Garcia-Luna-Aceves
BIBE
2008
IEEE
109views Bioinformatics» more  BIBE 2008»
14 years 3 months ago
Retrieval and ranking of biomedical images using boosted haar features
— Retrieving similar images from large repository of heterogeneous biomedical images has been a difficult research task. In this paper, we develop a retrieval system that uses H...
Chandan K. Reddy, Fahima A. Bhuyan
CVPR
2010
IEEE
14 years 5 months ago
Supervised Translation-Invariant Sparse Coding
In this paper, we propose a novel supervised hierarchical sparse coding model based on local image descriptors for classification tasks. The supervised dictionary training is perf...
Jianchao Yang, Kai Yu, Thomas Huang