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» Opportunistic Data Structures with Applications
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ICCV
2009
IEEE
16 years 9 months ago
Sparsity Induced Similarity Measure for Label Propagation
Graph-based semi-supervised learning has gained considerable interests in the past several years thanks to its effectiveness in combining labeled and unlabeled data through labe...
Hong Cheng, Zicheng Liu, Jie Yang
LCPC
2007
Springer
15 years 11 months ago
Communicating Multiprocessor-Tasks
The use of multiprocessor tasks (M-tasks) has been shown to be successful for mixed task and data parallel implementations of algorithms from scientific computing. The approach o...
Jörg Dümmler, Thomas Rauber, Gudula R&uu...
ER
2003
Springer
173views Database» more  ER 2003»
15 years 10 months ago
Automatic Generation of XQuery View Definitions from ORA-SS Views
Many Internet-based applications have adopted XML as the standard data exchange format. These XML data are typically stored in its native form, thus creating the need to present XM...
Ya Bing Chen, Tok Wang Ling, Mong-Li Lee
KDD
2004
ACM
209views Data Mining» more  KDD 2004»
16 years 5 months ago
Tracking dynamics of topic trends using a finite mixture model
In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
Satoshi Morinaga, Kenji Yamanishi
PLDI
2011
ACM
14 years 8 months ago
The tao of parallelism in algorithms
For more than thirty years, the parallel programming community has used the dependence graph as the main abstraction for reasoning about and exploiting parallelism in “regular...
Keshav Pingali, Donald Nguyen, Milind Kulkarni, Ma...