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» A Model for Large Scale Self-Stabilization
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156
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TSP
2012
13 years 11 months ago
Distributed Covariance Estimation in Gaussian Graphical Models
—We consider distributed estimation of the inverse covariance matrix in Gaussian graphical models. These models factorize the multivariate distribution and allow for efficient d...
Ami Wiesel, Alfred O. Hero
CHI
2011
ACM
14 years 7 months ago
The effects of task dimensionality, endpoint deviation, throughput calculation, and experiment design on pointing measures and m
Fitts’ law (1954) characterizes pointing speed-accuracy performance as throughput, whose invariance to target distances (A) and sizes (W) is known. However, it is unknown whethe...
Jacob O. Wobbrock, Kristen Shinohara, Alex Jansen
156
Voted
ACII
2011
Springer
14 years 3 months ago
A Psychologically-Inspired Match-Score Fusion Model for Video-Based Facial Expression Recognition
Communication between humans is rich in complexity and is not limited to verbal signals; emotions are conveyed with gesture, pose and facial expression. Facial Emotion Recognition ...
Albert Cruz, Bir Bhanu, Songfan Yang
146
Voted
CEC
2003
IEEE
15 years 9 months ago
Stochastic neural network models for gene regulatory networks
AbstractRecent advances in gene-expression profiling technologies provide large amounts of gene expression data. This raises the possibility for a functional understanding of geno...
Tianhai Tian, Kevin Burrage
169
Voted
ICPPW
2005
IEEE
15 years 9 months ago
Performance Prophet: A Performance Modeling and Prediction Tool for Parallel and Distributed Programs
High-performance computing is essential for solving large problems and for reducing the time to solution for a single problem. Current top high-performance computing systems conta...
Sabri Pllana, Thomas Fahringer