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» Measuring Distributional Similarity in Context
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HPCA
2001
IEEE
14 years 9 months ago
Differential FCM: Increasing Value Prediction Accuracy by Improving Table Usage Efficiency
Value prediction is a relatively new technique to increase the Instruction Level Parallelism (ILP) in future microprocessors. An important problem when designing a value predictor...
Bart Goeman, Hans Vandierendonck, Koenraad De Boss...
EPEW
2006
Springer
14 years 17 days ago
Model Checking for a Class of Performance Properties of Fluid Stochastic Models
Abstract. Recently, there is an explosive development of fluid approaches to computer and distributed systems. These approaches are inherently stochastic and generate continuous st...
Manuela L. Bujorianu, Marius C. Bujorianu
ICASSP
2011
IEEE
13 years 19 days ago
Adaptive appearance learning for visual object tracking
This paper addresses online learning of reference object distribution in the context of two hybrid tracking schemes that combine the mean shift with local point feature correspond...
Zulfiqar Hassan Khan, Irene Yu-Hua Gu
IJCAI
2007
13 years 10 months ago
Logistic Regression Models for a Fast CBIR Method Based on Feature Selection
Distance measures like the Euclidean distance have been the most widely used to measure similarities between feature vectors in the content-based image retrieval (CBIR) systems. H...
Riadh Ksantini, Djemel Ziou, Bernard Colin, Fran&c...
NLDB
2011
Springer
12 years 11 months ago
Querying Linked Data Using Semantic Relatedness: A Vocabulary Independent Approach
Abstract. Linked Data brings the promise of incorporating a new dimension to the Web where the availability of Web-scale data can determine a paradigmatic transformation of the Web...
André Freitas, João Gabriel Oliveira...