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» Mobile learning: A framework and evaluation
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MOBIQUITOUS
2007
IEEE
14 years 3 months ago
Minimum Disruption Service Composition and Recovery over Mobile Ad Hoc Networks
— The dynamic nature of mobile ad hoc networks poses fundamental challenges to the design of service composition schemes that can minimize the effect of service disruptions. Alth...
Shanshan Jiang, Yuan Xue, Douglas C. Schmidt
ICPR
2008
IEEE
14 years 3 months ago
Learning combined similarity measures from user data for image retrieval
Image retrieval has become an interesting and active field due to the increasing necessity of searching and browsing very large image repositories. Images are represented using s...
Miguel Arevalillo-Herráez, Francesc J. Ferr...
JMLR
2010
119views more  JMLR 2010»
13 years 3 months ago
Semi-Supervised Learning via Generalized Maximum Entropy
Various supervised inference methods can be analyzed as convex duals of the generalized maximum entropy (MaxEnt) framework. Generalized MaxEnt aims to find a distribution that max...
Ayse Erkan, Yasemin Altun
ETS
2007
IEEE
128views Hardware» more  ETS 2007»
13 years 11 months ago
Selecting Power-Optimal SBST Routines for On-Line Processor Testing
Software-Based Self-Test (SBST) has emerged as an effective strategy for on-line testing of processors integrated in non-safety critical embedded system applications. Among the mo...
Andreas Merentitis, Nektarios Kranitis, Antonis M....
SASN
2003
ACM
14 years 2 months ago
Admission control in Peer-to-Peer: design and performance evaluation
Peer-to-Peer (P2P) applications and services are very common in today’s computing. The popularity of the P2P paradigm prompts the need for specialized security services which ma...
Nitesh Saxena, Gene Tsudik, Jeong Hyun Yi