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JMLR
2010
206views more  JMLR 2010»
14 years 10 months ago
Learning Translation Invariant Kernels for Classification
Appropriate selection of the kernel function, which implicitly defines the feature space of an algorithm, has a crucial role in the success of kernel methods. In this paper, we co...
Sayed Kamaledin Ghiasi Shirazi, Reza Safabakhsh, M...
127
Voted
KDD
2008
ACM
181views Data Mining» more  KDD 2008»
16 years 3 months ago
Learning subspace kernels for classification
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
142
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PVLDB
2010
129views more  PVLDB 2010»
15 years 1 months ago
iGraph: A Framework for Comparisons of Disk-Based Graph Indexing Techniques
Graphs are of growing importance in modeling complex structures such as chemical compounds, proteins, images, and program dependence. Given a query graph Q, the subgraph isomorphi...
Wook-Shin Han, Jinsoo Lee, Minh-Duc Pham, Jeffrey ...
PDPTA
2000
15 years 4 months ago
Evaluation of Neural and Genetic Algorithms for Synthesizing Parallel Storage Schemes
Exploiting compile time knowledge to improve memory bandwidth can produce noticeable improvements at run-time [13, 1]. Allocating the data structure [13] to separate memories when...
Mayez A. Al-Mouhamed, Husam Abu-Haimed
ICDE
2008
IEEE
117views Database» more  ICDE 2008»
16 years 4 months ago
Similarity Search in Arbitrary Subspaces Under Lp-Norm
Similarity search has been widely used in many applications such as information retrieval, image data analysis, and time-series matching. Specifically, a similarity query retrieves...
Xiang Lian, Lei Chen 0002