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» Measuring and Predicting Object Importance
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ICPR
2004
IEEE
14 years 9 months ago
Entropy-Based Measures for Clustering and SOM Topology Preservation Applied to Content-Based Image Indexing and Retrieval
Content-based image retrieval (CBIR) addresses the problem of finding images relevant to the users' information needs, based principally on low-level visual features for whic...
Markus Koskela, Jorma Laaksonen, Erkki Oja
DMIN
2006
151views Data Mining» more  DMIN 2006»
13 years 10 months ago
Rough Set Theory: Approach for Similarity Measure in Cluster Analysis
- Clustering of data is an important data mining application. One of the problems with traditional partitioning clustering methods is that they partition the data into hard bound n...
Shuchita Upadhyaya, Alka Arora, Rajni Jain
ISCI
2002
130views more  ISCI 2002»
13 years 8 months ago
A study of object declustering strategies in parallel temporal object database systems
In a transaction-time temporal object database management system (TODBMS), updating an object creates a new version of the object, but the old version is still accessible. A TODBM...
Kjetil Nørvåg
ISCA
1998
IEEE
151views Hardware» more  ISCA 1998»
14 years 23 days ago
Alternative Implementations of Two-Level Adaptive Branch Prediction
As the issue rate and depth of pipelining of high performance Superscalar processors increase, the importance of an excellent branch predictor becomes more vital to delivering the...
Tse-Yu Yeh, Yale N. Patt
EUROPAR
2008
Springer
13 years 10 months ago
Exploration of the Influence of Program Inputs on CMP Co-scheduling
Recent studies have showed the effectiveness of job co-scheduling in alleviating shared-cache contention on Chip Multiprocessors. Although program inputs affect cache usage and thu...
Yunlian Jiang, Xipeng Shen