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NIPS
2007
15 years 5 months ago
Variational Inference for Diffusion Processes
Diffusion processes are a family of continuous-time continuous-state stochastic processes that are in general only partially observed. The joint estimation of the forcing paramete...
Cédric Archambeau, Manfred Opper, Yuan Shen...
ICML
2010
IEEE
15 years 5 months ago
Learning Deep Boltzmann Machines using Adaptive MCMC
When modeling high-dimensional richly structured data, it is often the case that the distribution defined by the Deep Boltzmann Machine (DBM) has a rough energy landscape with man...
Ruslan Salakhutdinov
VLUDS
2010
220views Visualization» more  VLUDS 2010»
14 years 11 months ago
Markerless Camera Pose Estimation - An Overview
Human perception shows that a correct interpretation of a 3D scene on the basis of a 2D image is possible without markers. Solely by identifying natural features of different obje...
Tobias Nöll, Alain Pagani, Didier Stricker
135
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JNW
2006
131views more  JNW 2006»
15 years 4 months ago
Localized Recursive Estimation in Energy Constrained Wireless Sensor Networks
Abstract-- This paper proposes a localized recursive estimation scheme for parameter estimation in wireless sensor networks. Given any parameter of a target occurring at some locat...
Bang Wang, Kee Chaing Chua, Vikram Srinivasan
WCNC
2010
IEEE
15 years 2 months ago
Applying Spring-Relaxation Technique in Cellular Network Localization
—This paper presents a simple solution suitable for the mandatory localization function for E-911 services specified by FCC. Our solution introduces zero-length spring technique...
Qing Zhang, Chuan Heng Foh, Boon-Chong Seet, Alvis...