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EMNLP
2009
14 years 9 months ago
Unsupervised morphological segmentation and clustering with document boundaries
Many approaches to unsupervised morphology acquisition incorporate the frequency of character sequences with respect to each other to identify word stems and affixes. This typical...
Taesun Moon, Katrin Erk, Jason Baldridge
ICCAD
2009
IEEE
123views Hardware» more  ICCAD 2009»
14 years 9 months ago
Multi-level clustering for clock skew optimization
Clock skew scheduling has been effectively used to reduce the clock period of sequential circuits. However, this technique may become impractical if a different skew must be appli...
Jonas Casanova, Jordi Cortadella
LCR
1998
Springer
137views System Software» more  LCR 1998»
15 years 3 months ago
Integrated Task and Data Parallel Support for Dynamic Applications
There is an emerging class of real-time interactive applications that require the dynamic integration of task and data parallelism. An example is the Smart Kiosk, a free-standing ...
James M. Rehg, Kathleen Knobe, Umakishore Ramachan...
IJKDB
2010
170views more  IJKDB 2010»
14 years 9 months ago
Clustering Genes Using Heterogeneous Data Sources
Clustering of gene expression data is a standard exploratory technique used to identify closely related genes. Many other sources of data are also likely to be of great assistance...
Erliang Zeng, Chengyong Yang, Tao Li, Giri Narasim...
DATAMINE
2006
89views more  DATAMINE 2006»
14 years 11 months ago
Scalable Clustering Algorithms with Balancing Constraints
Clustering methods for data-mining problems must be extremely scalable. In addition, several data mining applications demand that the clusters obtained be balanced, i.e., be of ap...
Arindam Banerjee, Joydeep Ghosh