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» Modeling Relational Data by the Adjacency Model
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126
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NIPS
2003
15 years 6 months ago
Wormholes Improve Contrastive Divergence
In models that define probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...
Geoffrey E. Hinton, Max Welling, Andriy Mnih
153
Voted
ASPLOS
1991
ACM
15 years 8 months ago
Performance Evaluation of Memory Consistency Models for Shared Memory Multiprocessors
The memory consistency model supported by a multiprocessor architecture determines the amount of buffering and pipelining that may be used to hide or reduce the latency of memory ...
Kourosh Gharachorloo, Anoop Gupta, John L. Henness...
PR
2008
218views more  PR 2008»
15 years 4 months ago
Automatic feature localisation with constrained local models
We present an efficient and robust method of locating a set of feature points in an object of interest. From a training set we construct a joint model of the appearance of each fe...
David Cristinacce, Timothy F. Cootes
155
Voted
CVPR
2010
IEEE
16 years 1 months ago
An Object-Dependent Hand Pose Prior from Sparse Training Data
In this paper, we propose a prior for hand pose estimation that integrates the direct relation between a manipulating hand and a 3d object. This is of particular interest for a va...
Henning Hamer, Juergen Gall, Thibaut Weise, Luc Va...
GLOBECOM
2006
IEEE
15 years 10 months ago
Bayesian Data Fusion for Asynchronous DS-CDMA Sensor Networks in Rayleigh Fading
Abstract— In this paper, we propose asynchronous non-orthogonal communication between distributed sensors and a data fusion center via asynchronous direct-sequence code-division ...
Justin S. Dyer, Balasubramaniam Natarajan, Sudharm...