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MICCAI
2008
Springer
16 years 5 months ago
Exploring the Use of Proper Orthogonal Decomposition for Enhancing Blood Flow Images Via Computational Fluid Dynamics
Abstract. Obtaining high quality patient-specific flow velocity information is not an easy task. Available clinical data are usually poorly resolved and contain a significant amoun...
Dominik Szczerba, Gábor Székely, Kri...
STOC
2006
ACM
138views Algorithms» more  STOC 2006»
16 years 4 months ago
Searching dynamic point sets in spaces with bounded doubling dimension
We present a new data structure that facilitates approximate nearest neighbor searches on a dynamic set of points in a metric space that has a bounded doubling dimension. Our data...
Richard Cole, Lee-Ad Gottlieb
ESWS
2007
Springer
15 years 10 months ago
Dynamic Service Discovery Through Meta-interactions with Service Providers
Dynamic discovery based on semantic description of services is an essential aspect of the Semantic Web services integration process. Since not all data required for service discove...
Tomas Vitvar, Maciej Zaremba, Matthew Moran
ICMCS
2005
IEEE
133views Multimedia» more  ICMCS 2005»
15 years 10 months ago
Multi-sensory speech processing: incorporating automatically extracted hidden dynamic information
We describe a novel technique for multi-sensory speech processing for enhancing noisy speech and for improved noiserobust speech recognition. Both air- and bone-conductive microph...
Amarnag Subramanya, Li Deng, Zicheng Liu, Zhengyou...
MLDM
2005
Springer
15 years 10 months ago
Clustering Large Dynamic Datasets Using Exemplar Points
In this paper we present a method to cluster large datasets that change over time using incremental learning techniques. The approach is based on the dynamic representation of clus...
William Sia, Mihai M. Lazarescu