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» Discovering Classification from Data of Multiple Sources
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IJMMS
2007
145views more  IJMMS 2007»
15 years 1 months ago
Automatic prediction of frustration
Predicting when a person might be frustrated can provide an intelligent system with important information about when to initiate interaction. For example, an automated Learning Co...
Ashish Kapoor, Winslow Burleson, Rosalind W. Picar...
TCOM
2010
162views more  TCOM 2010»
14 years 8 months ago
RFID Reader Receivers for Physical Layer Collision Recovery
Abstract--Arbitration and scheduling of multiple tags in stateof-the-art Radio Frequency Identification (RFID) systems is accomplished on the medium access control layer. Currently...
Christoph Angerer, Robert Langwieser, Markus Rupp
WWW
2010
ACM
15 years 5 months ago
Enabling entity-based aggregators for web 2.0 data
Selecting and presenting content culled from multiple heterogeneous and physically distributed sources is a challenging task. The exponential growth of the web data in modern time...
Ekaterini Ioannou, Claudia Niederée, Yannis...
SECON
2008
IEEE
15 years 8 months ago
Practical Algorithms for Gathering Stored Correlated Data in a Network
—Many sensing systems remotely monitor/measure an environment at several sites, and then report these observations to a central site. We propose and investigate several practical...
Ramin Khalili, James F. Kurose
SENSYS
2006
ACM
15 years 7 months ago
Data compression algorithms for energy-constrained devices in delay tolerant networks
Sensor networks are fundamentally constrained by the difficulty and energy expense of delivering information from sensors to sink. Our work has focused on garnering additional si...
Christopher M. Sadler, Margaret Martonosi