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» Estimating random variables from random sparse observations
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ATAL
2008
Springer
13 years 9 months ago
Multi-robot Markov random fields
We propose Markov random fields (MRFs) as a probabilistic mathematical model for unifying approaches to multi-robot coordination or, more specifically, distributed action selectio...
Jesse Butterfield, Odest Chadwicke Jenkins, Brian ...
ICIP
2004
IEEE
14 years 9 months ago
Estimating facial pose from a sparse representation
We present an approach to estimate the poses of human heads in natural scenes. The essential features for estimating the head pose are the positions of the prominent facial featur...
Hankyu Moon, M. L. Miller
APPROX
2008
Springer
119views Algorithms» more  APPROX 2008»
13 years 9 months ago
The Complexity of Distinguishing Markov Random Fields
Abstract. Markov random fields are often used to model high dimensional distributions in a number of applied areas. A number of recent papers have studied the problem of reconstruc...
Andrej Bogdanov, Elchanan Mossel, Salil P. Vadhan
COMCOM
2010
179views more  COMCOM 2010»
13 years 7 months ago
On the statistical characterization of flows in Internet traffic with application to sampling
A new method of estimating some statistical characteristics of TCP flows in the Internet is developed in this paper. For this purpose, a new set of random variables (referred to as...
Yousra Chabchoub, Christine Fricker, Fabrice Guill...
TSP
2008
118views more  TSP 2008»
13 years 7 months ago
Channel-Aware Random Access Control for Distributed Estimation in Sensor Networks
A cross-layered slotted ALOHA protocol is proposed and analyzed for distributed estimation in sensor networks. Suppose that the sensors in the network record local measurements of ...
Y.-W. P. Hong, Keng-U Lei, Chong-Yung Chi