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» On the Distribution of Natural Probability Functions
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IPSN
2005
Springer
15 years 10 months ago
Sensing capacity for discrete sensor network applications
We bound the number of sensors required to achieve a desired level of sensing accuracy in a discrete sensor network application (e.g. distributed detection). We model the state of...
Yaron Rachlin, Rohit Negi, Pradeep K. Khosla
CONCUR
1994
Springer
15 years 8 months ago
Composition and Behaviors of Probabilistic I/O Automata
We augment the I/O automaton model of Lynch and Tuttle with probability, as a step toward the ultimate goal of obtaining a useful tool for specifying and reasoning about asynchron...
Sue-Hwey Wu, Scott A. Smolka, Eugene W. Stark
CVIU
2006
76views more  CVIU 2006»
15 years 4 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
TIT
2011
106views more  TIT 2011»
14 years 11 months ago
Interference Alignment-Based Sum Capacity Bounds for Random Dense Gaussian Interference Networks
We consider a dense K user Gaussian interference network formed by paired transmitters and receivers placed independently at random in a fixed spatial region. Under natural condi...
Oliver Johnson, Matthew Aldridge, Robert J. Piecho...
CVPR
2000
IEEE
16 years 6 months ago
In Search of Illumination Invariants
We consider the problem of determining functions of an image of an object that are insensitive to illumination changes. We rst show that for an object with Lambertian r e e ctanc ...
Hansen F. Chen, Peter N. Belhumeur, David W. Jacob...