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» Large-scale manifold learning
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ELPUB
1999
ACM
14 years 2 months ago
Two Large-Scale Surveys of Electronic Publication in the United Kingdom
The Department of Information Science at Loughborough University has carried out several user studies on electronic journals in recent years, including the ELVYN and Cafe Jus proj...
Fytton Rowland
CVPR
2009
IEEE
15 years 5 months ago
Efficient Representation of Local Geometry for Large Scale Object Retrieval
State of the art methods for image and object re- trieval exploit both appearance (via visual words) and local geometry (spatial extent, relative pose). In large scale problems,...
Michal Perdoch (Czech Technical University), Ondre...
ICPADS
2005
IEEE
14 years 3 months ago
Distributed Spanning Tree Algorithms for Large Scale Traversals
— The Distributed Spanning Tree (DST) is an overlay structure designed to be scalable. It supports the growth from small scale to large scale. The DST is a tree without bottlenec...
Sylvain Dahan
INFOCOM
2010
IEEE
13 years 8 months ago
UUSee: Large-Scale Operational On-Demand Streaming with Random Network Coding
—Since the inception of network coding in information theory, we have witnessed a sharp increase of research interest in its applications in communications and networking, where ...
Zimu Liu, Chuan Wu, Baochun Li, Shuqiao Zhao
ICDM
2009
IEEE
156views Data Mining» more  ICDM 2009»
13 years 7 months ago
Scalable Classification in Large Scale Spatiotemporal Domains Applied to Voltage-Sensitive Dye Imaging
We present an approach for learning models that obtain accurate classification of large scale data objects, collected in spatiotemporal domains. The model generation is structured ...
Igor Vainer, Sarit Kraus, Gal A. Kaminka, Hamutal ...