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ECCV
2010
Springer
14 years 1 months ago
Fast Approximate Nearest Neighbor Methods for Non-Euclidean Manifolds with Applications to Human Activity Analysis in Videos
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
Rizwan Chaudhry, Yuri Ivanov
ISPASS
2009
IEEE
14 years 2 months ago
Lonestar: A suite of parallel irregular programs
Until recently, parallel programming has largely focused on the exploitation of data-parallelism in dense matrix programs. However, many important application domains, including m...
Milind Kulkarni, Martin Burtscher, Calin Cascaval,...
CCGRID
2009
IEEE
14 years 2 months ago
C-Meter: A Framework for Performance Analysis of Computing Clouds
—Cloud computing has emerged as a new technology that provides large amount of computing and data storage capacity to its users with a promise of increased scalability, high avai...
Nezih Yigitbasi, Alexandru Iosup, Dick H. J. Epema...
MLDM
2009
Springer
14 years 2 months ago
Regional Pattern Discovery in Geo-referenced Datasets Using PCA
Existing data mining techniques mostly focus on finding global patterns and lack the ability to systematically discover regional patterns. Most relationships in spatial datasets ar...
Oner Ulvi Celepcikay, Christoph F. Eick, Carlos Or...
ICASSP
2008
IEEE
14 years 2 months ago
Nested support vector machines
The one-class and cost-sensitive support vector machines (SVMs) are state-of-the-art machine learning methods for estimating density level sets and solving weighted classificatio...
Gyemin Lee, Clayton Scott