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» Markov Approximation for Combinatorial Network Optimization
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CDC
2009
IEEE
208views Control Systems» more  CDC 2009»
15 years 15 days ago
Sensor selection for hypothesis testing in wireless sensor networks: a Kullback-Leibler based approach
We consider the problem of selecting a subset of p out of n sensors for the purpose of event detection, in a wireless sensor network (WSN). Occurrence or not of the event of intere...
Dragana Bajovic, Bruno Sinopoli, João Xavie...
HICSS
2003
IEEE
207views Biometrics» more  HICSS 2003»
15 years 4 months ago
Formalizing Multi-Agent POMDP's in the context of network routing
This paper uses partially observable Markov decision processes (POMDP’s) as a basic framework for MultiAgent planning. We distinguish three perspectives: first one is that of a...
Bharaneedharan Rathnasabapathy, Piotr J. Gmytrasie...
ICCV
2011
IEEE
13 years 11 months ago
Who Blocks Who: Simultaneous Clothing Segmentation for Grouping Images
Clothing is one of the most informative cues of human appearance. In this paper, we propose a novel multi-person clothing segmentation algorithm for highly occluded images. The ke...
Wang Nan, Haizhou Ai
LCN
2005
IEEE
15 years 5 months ago
Simulated Annealing based Localization in Wireless Sensor Network
— In this paper, we describe a novel localization method for ad hoc wireless sensor networks. Accurate selforganization and localization is an essential characteristic of high pe...
Anushiya A. Kannan, Guoqiang Mao, Branka Vucetic
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
15 years 11 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal