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SSD
2001
Springer
218views Database» more  SSD 2001»
14 years 8 days ago
Efficient Mining of Spatiotemporal Patterns
The problem of mining spatiotemporal patterns is finding sequences of events that occur frequently in spatiotemporal datasets. Spatiotemporal datasets store the evolution of object...
Ilias Tsoukatos, Dimitrios Gunopulos
NPL
2006
130views more  NPL 2006»
13 years 7 months ago
A Fast Feature-based Dimension Reduction Algorithm for Kernel Classifiers
This paper presents a novel dimension reduction algorithm for kernel based classification. In the feature space, the proposed algorithm maximizes the ratio of the squared between-c...
Senjian An, Wanquan Liu, Svetha Venkatesh, Ronny T...
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
ICDE
2009
IEEE
183views Database» more  ICDE 2009»
14 years 9 months ago
Efficient Indices Using Graph Partitioning in RDF Triple Stores
With the advance of the Semantic Web, varying RDF data were increasingly generated, published, queried, and reused via the Web. For example, the DBpedia, a community effort to extr...
Ying Yan, Chen Wang, Aoying Zhou, Weining Qian, Li...
CVPR
2008
IEEE
14 years 9 months ago
Fast image search for learned metrics
We introduce a method that enables scalable image search for learned metrics. Given pairwise similarity and dissimilarity constraints between some images, we learn a Mahalanobis d...
Prateek Jain, Brian Kulis, Kristen Grauman