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» Clustering by pattern similarity in large data sets
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CIKM
2005
Springer
15 years 11 months ago
Opportunity map: a visualization framework for fast identification of actionable knowledge
Data mining techniques frequently find a large number of patterns or rules, which make it very difficult for a human analyst to interpret the results and to find the truly interes...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xia...
EDBT
2000
ACM
15 years 10 months ago
Dynamically Optimizing High-Dimensional Index Structures
In high-dimensional query processing, the optimization of the logical page-size of index structures is an important research issue. Even very simple query processing techniques suc...
Christian Böhm, Hans-Peter Kriegel
CVPR
2009
IEEE
17 years 1 months ago
Locally Constrained Diffusion Process on Locally Densified Distance Spaces with Applications to Shape Retrieval
The matching and retrieval of 2D shapes is an important challenge in computer vision. A large number of shape similarity approaches have been developed, with the main focus bein...
Xingwei Yang (Temple University), Suzan Koknar-Tez...
IEEEPACT
2009
IEEE
16 years 28 days ago
Soft-OLP: Improving Hardware Cache Performance through Software-Controlled Object-Level Partitioning
—Performance degradation of memory-intensive programs caused by the LRU policy’s inability to handle weaklocality data accesses in the last level cache is increasingly serious ...
Qingda Lu, Jiang Lin, Xiaoning Ding, Zhao Zhang, X...
CIVR
2009
Springer
145views Image Analysis» more  CIVR 2009»
16 years 25 days ago
Jointly optimising relevance and diversity in image retrieval
In this paper we present a method to jointly optimise the relevance and the diversity of the results in image retrieval. Without considering diversity, image retrieval systems oft...
Thomas Deselaers, Tobias Gass, Philippe Dreuw, Her...