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KDD
2008
ACM
172views Data Mining» more  KDD 2008»
14 years 8 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
IFIP
2010
Springer
13 years 2 months ago
Rialto 2.0: A Language for Heterogeneous Computations
Modern embedded systems are often heterogeneous in that their design requires several description paradigms, based on different models of computation and concurrency (MoCCs). In th...
Johan Lilius, Andreas Dahlin, Lionel Morel
VIS
2003
IEEE
116views Visualization» more  VIS 2003»
14 years 9 months ago
Space Efficient Fast Isosurface Extraction for Large Datasets
In this paper, we present a space efficient algorithm for speeding up isosurface extraction. Even though there exist algorithms that can achieve optimal search performance to iden...
Udeepta Bordoloi, Han-Wei Shen
MM
2004
ACM
248views Multimedia» more  MM 2004»
14 years 1 months ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He
ICDE
2007
IEEE
167views Database» more  ICDE 2007»
14 years 9 months ago
GString: A Novel Approach for Efficient Search in Graph Databases
Graphs are widely used for modeling complicated data, including chemical compounds, protein interactions, XML documents, and multimedia. Information retrieval against such data ca...
Haoliang Jiang, Haixun Wang, Philip S. Yu, Shuigen...