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» Distributed Computing with Imperfect Randomness
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NIPS
2007
13 years 11 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
CVIU
2006
76views more  CVIU 2006»
13 years 10 months ago
Homeostatic image perception: An artificial system
This paper describes how a visual system can automatically define features of interest from the observation of a large enough number of natural images. The principle complements t...
Thomas Feldman, Laurent Younes
TSP
2008
100views more  TSP 2008»
13 years 10 months ago
Geographic Gossip: Efficient Averaging for Sensor Networks
Gossip algorithms for distributed computation are attractive due to their simplicity, distributed nature, and robustness in noisy and uncertain environments. However, using standa...
Alexandros G. Dimakis, Anand D. Sarwate, Martin J....
WCE
2007
13 years 11 months ago
A Model for the Statistical Distribution of Road Vehicle Vibrations
— This paper presents the initial results of a study aimed at improving the method by which the vibrations produced by transport vehicles are characterised and simulated. More sp...
Manuel-Alfredo Garcia-Romeu-Martinez, Vincent Roui...
CPE
1998
Springer
115views Hardware» more  CPE 1998»
14 years 2 months ago
On Choosing a Task Assignment Policy for a Distributed Server System
We consider a distributed server system model and ask which policy should be used for assigning tasks to hosts. In our model each host processes tasks in First-Come-First-Serve ord...
Mor Harchol-Balter, Mark Crovella, Cristina D. Mur...