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» Measuring and Predicting Object Importance
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CASES
2003
ACM
14 years 19 days ago
Encryption overhead in embedded systems and sensor network nodes: modeling and analysis
Recent research in sensor networks has raised issues of security for small embedded devices. Security concerns are motivated by the deployment of a large number of sensory devices...
Ramnath Venugopalan, Prasanth Ganesan, Pushkin Ped...
SIGIR
2003
ACM
14 years 19 days ago
Automatic image annotation and retrieval using cross-media relevance models
Libraries have traditionally used manual image annotation for indexing and then later retrieving their image collections. However, manual image annotation is an expensive and labo...
Jiwoon Jeon, Victor Lavrenko, R. Manmatha
WSNA
2003
ACM
14 years 18 days ago
Analyzing and modeling encryption overhead for sensor network nodes
Recent research in sensor networks has raised security issues for small embedded devices. Security concerns are motivated by the deployment of a large number of sensory devices in...
Prasanth Ganesan, Ramnath Venugopalan, Pushkin Ped...
MEDINFO
2007
132views Healthcare» more  MEDINFO 2007»
13 years 8 months ago
Comparing Decision Support Methodologies for Identifying Asthma Exacerbations
Objective: To apply and compare common machine learning techniques with an expert-built Bayesian Network to determine eligibility for asthma guidelines in pediatric emergency depa...
Judith W. Dexheimer, Laura E. Brown, Jeffrey Leego...
RSS
2007
176views Robotics» more  RSS 2007»
13 years 8 months ago
Active Policy Learning for Robot Planning and Exploration under Uncertainty
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...