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» Maximizing expected utility over a knapsack constraint
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ICIP
2005
IEEE
15 years 3 months ago
Content-based medical image retrieval using dynamically optimized regional features
This paper proposes a content-based medical image retrieval (CBMIR) framework using dynamically optimized features from multiple regions of medical images. These regional features...
Wei Xiong, Bo Qiu, Qi Tian, Changsheng Xu, Sim Hen...
ICASSP
2008
IEEE
15 years 4 months ago
Learning to satisfy
This paper investigates a class of learning problems called learning satisfiability (LSAT) problems, where the goal is to learn a set in the input (feature) space that satisfies...
Frederic Thouin, Mark Coates, Brian Eriksson, Robe...
VTC
2010
IEEE
174views Communications» more  VTC 2010»
14 years 8 months ago
An Opportunistic Spectrum Scheduling Scheme for Multi-Channel Cognitive Radio Networks
—In this paper, we develop an opportunistic spectrum scheduling scheme for cognitive radio networks. In the proposed scheme, the channel status (i.e., whether being occupied by p...
Vamsi Krishna Tumuluru, Ping Wang, Dusit Niyato
JAIR
1998
198views more  JAIR 1998»
14 years 9 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...
INFOCOM
2010
IEEE
14 years 7 months ago
MeasuRouting: A Framework for Routing Assisted Traffic Monitoring
Monitoring transit traffic at one or more points in a network is of interest to network operators for reasons of traffic accounting, debugging or troubleshooting, forensics, and tr...
Saqib Raza, Guanyao Huang, Chen-Nee Chuah, Srini S...