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SPIRE
2005
Springer
14 years 6 days ago
Using the k-Nearest Neighbor Graph for Proximity Searching in Metric Spaces
Proximity searching consists in retrieving from a database, objects that are close to a query. For this type of searching problem, the most general model is the metric space, where...
Rodrigo Paredes, Edgar Chávez
TC
2010
13 years 5 months ago
A Novel Weighted-Graph-Based Grouping Algorithm for Metadata Prefetching
— Although data prefetching algorithms have been extensively studied for years, there is no counterpart research done for metadata access performance. Existing data prefetching a...
Peng Gu, Jun Wang, Yifeng Zhu, Hong Jiang, Pengju ...
KDD
2005
ACM
160views Data Mining» more  KDD 2005»
14 years 7 months ago
Consistent bipartite graph co-partitioning for star-structured high-order heterogeneous data co-clustering
Heterogeneous data co-clustering has attracted more and more attention in recent years due to its high impact on various applications. While the co-clustering algorithms for two t...
Bin Gao, Tie-Yan Liu, Xin Zheng, QianSheng Cheng, ...
PAKDD
2004
ACM
96views Data Mining» more  PAKDD 2004»
14 years 2 days ago
Spectral Energy Minimization for Semi-supervised Learning
The use of unlabeled data to aid classification is important as labeled data is often available in limited quantity. Instead of utilizing training samples directly into semi-super...
Chun Hung Li, Zhi-Li Wu
ISBI
2007
IEEE
14 years 1 months ago
Postprocessing of Brain White Matter Fiber Orientation Distribution Functions
By acquiring high angular resolution diffusion weighted magnetic resonance images (HARDI), Q-Ball analysis can disclose the 3D organization of fibrous tissue such as the brain whi...
Steven Delputte, Hans Dierckx, Els Fieremans, Yves...