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220
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JMLR
2010
192views more  JMLR 2010»
15 years 1 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
218
Voted
JOCN
2010
117views more  JOCN 2010»
15 years 1 months ago
The Neural Substrates and Timing of Top-Down Processes during Coarse-to-Fine Categorization of Visual Scenes: A Combined fMRI an
Spatial frequencies in an image influence visual analysis across a distributed, hierarchically organized brain network. Low spatial frequency (LSF) information may rapidly reach h...
Carole Peyrin, Christoph M. Michel, Sophie Schwart...
169
Voted
TOG
2010
126views more  TOG 2010»
15 years 1 months ago
Automatic generation of destination maps
Destination maps are navigational aids designed to show anyone within a region how to reach a location (the destination). Handdesigned destination maps include only the most impor...
Johannes Kopf, Maneesh Agrawala, David Bargeron, D...
TWC
2010
15 years 1 months ago
Optimal Linear Non-Regenerative Multi-Hop MIMO Relays with MMSE-DFE Receiver at the Destination
In this paper, we study multi-hop non-regenerative multiple-input multiple-output (MIMO) relay communications with any number of hops. We design the optimal source precoding matrix...
Yue Rong
196
Voted
VTC
2007
IEEE
161views Communications» more  VTC 2007»
16 years 1 months ago
Early Results on Hydra: A Flexible MAC/PHY Multihop Testbed
— Hydra is a flexible wireless network testbed being developed at UT Austin. Our focus is networks that support multiple wireless hops and where the network, especially the MAC,...
Ketan Mandke, Soon-Hyeok Choi, Gibeom Kim, Robert ...