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IJCV
2010
194views more  IJCV 2010»
13 years 6 months ago
Improving Bag-of-Features for Large Scale Image Search
This article improves recent methods for large scale image search. We first analyze the bag-of-features approach in the framework of approximate nearest neighbor search. This lea...
Herve Jegou, Matthijs Douze, Cordelia Schmid
ICDCS
2011
IEEE
12 years 7 months ago
Provisioning a Multi-tiered Data Staging Area for Extreme-Scale Machines
—Massively parallel scientific applications, running on extreme-scale supercomputers, produce hundreds of terabytes of data per run, driving the need for storage solutions to im...
Ramya Prabhakar, Sudharshan S. Vazhkudai, Youngjae...
ICCAD
2008
IEEE
140views Hardware» more  ICCAD 2008»
14 years 4 months ago
To SAT or not to SAT: Ashenhurst decomposition in a large scale
Functional decomposition is a fundamental operation in logic synthesis. Prior BDD-based approaches to functional decomposition suffer from the memory explosion problem and do not...
Hsuan-Po Lin, Jie-Hong Roland Jiang, Ruei-Rung Lee
ECML
2007
Springer
14 years 1 months ago
Principal Component Analysis for Large Scale Problems with Lots of Missing Values
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
Tapani Raiko, Alexander Ilin, Juha Karhunen
IPPS
2006
IEEE
14 years 1 months ago
Design and analysis of a multi-dimensional data sampling service for large scale data analysis applications
Sampling is a widely used technique to increase efficiency in database and data mining applications operating on large dataset. In this paper we present a scalable sampling imple...
Xi Zhang, Tahsin M. Kurç, Joel H. Saltz, Sr...