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NIPS
2007
14 years 11 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
14 years 11 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 4 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
JNW
2006
131views more  JNW 2006»
14 years 9 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
14 years 8 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...