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» CURE: An Efficient Clustering Algorithm for Large Databases
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CGF
2008
121views more  CGF 2008»
15 years 4 months ago
Tensor Clustering for Rendering Many-Light Animations
Rendering animations of scenes with deformable objects, camera motion, and complex illumination, including indirect lighting and arbitrary shading, is a long-standing challenge. P...
Milos Hasan, Edgar Velázquez-Armendá...
KDD
2004
ACM
137views Data Mining» more  KDD 2004»
15 years 9 months ago
Mining scale-free networks using geodesic clustering
Many real-world graphs have been shown to be scale-free— vertex degrees follow power law distributions, vertices tend to cluster, and the average length of all shortest paths is...
Andrew Y. Wu, Michael Garland, Jiawei Han
ICDE
2000
IEEE
96views Database» more  ICDE 2000»
16 years 5 months ago
Dynamic Miss-Counting Algorithms: Finding Implication and Similarity Rules with Confidence Pruning
Dynamic Miss-Countingalgorithms are proposed, which find all implication and similarity rules with confidence pruning but without support pruning. To handle data sets with a large...
Shinji Fujiwara, Jeffrey D. Ullman, Rajeev Motwani
SIGMOD
2009
ACM
269views Database» more  SIGMOD 2009»
16 years 4 months ago
Efficient approximate entity extraction with edit distance constraints
Named entity recognition aims at extracting named entities from unstructured text. A recent trend of named entity recognition is finding approximate matches in the text with respe...
Wei Wang 0011, Chuan Xiao, Xuemin Lin, Chengqi Zha...
VLDB
2001
ACM
157views Database» more  VLDB 2001»
16 years 4 months ago
MiniCon: A scalable algorithm for answering queries using views
The problem of answering queries using views is to find efficient methods of answering a query using a set of previously materialized views over the database, rather than accessing...
Rachel Pottinger, Alon Y. Halevy