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VTC
2010
IEEE
180views Communications» more  VTC 2010»
15 years 4 months ago
Analysis of Enhanced Deployment Models for Sensor Networks
Abstract—We present the estimation and evaluation of deployment models for sensor networks that exploit different amounts of a priori information. Topologies generated from the m...
Frank Oldewurtel, Petri Mähönen
NIPS
2007
15 years 7 months ago
Predictive Matrix-Variate t Models
It is becoming increasingly important to learn from a partially-observed random matrix and predict its missing elements. We assume that the entire matrix is a single sample drawn ...
Shenghuo Zhu, Kai Yu, Yihong Gong
HICSS
2009
IEEE
116views Biometrics» more  HICSS 2009»
16 years 1 months ago
Systems Modeling for IP-Based Handoff Using Timed Petri Nets
The mechanisms and design principles needed for achieving optimized handoff for mobile Internet services are poorly understood and need better analysis. This paper contributes to ...
Ashutosh Dutta, Bryan Lyles, Henning Schulzrinne, ...
JMLR
2010
155views more  JMLR 2010»
15 years 1 months ago
Bayesian Gaussian Process Latent Variable Model
We introduce a variational inference framework for training the Gaussian process latent variable model and thus performing Bayesian nonlinear dimensionality reduction. This method...
Michalis Titsias, Neil D. Lawrence
DAC
2006
ACM
16 years 7 months ago
Process variation aware OPC with variational lithography modeling
Optical proximity correction (OPC) is one of the most widely used resolution enhancement techniques (RET) in nanometer designs to improve subwavelength printability. Conventional ...
Peng Yu, Sean X. Shi, David Z. Pan