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» Model order selection for bio-molecular data clustering
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DCC
2006
IEEE
16 years 5 months ago
Compression and Machine Learning: A New Perspective on Feature Space Vectors
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
D. Sculley, Carla E. Brodley
COORDINATION
2005
Springer
15 years 11 months ago
Dynamically Adapting Tuple Replication for Managing Availability in a Shared Data Space
With its decoupling of processes in space and time, the shared data space model has proven to be a well-suited solution for developing distributed component-based systems. However,...
Giovanni Russello, Michel R. V. Chaudron, Maarten ...
CSDA
2006
84views more  CSDA 2006»
15 years 6 months ago
Three-mode partitioning
The three-mode partitioning model is a clustering model for three-way three-mode data sets that implies a simultaneous partitioning of all three modes involved in the data. In the...
Jan Schepers, Iven Van Mechelen, Eva Ceulemans
ITC
2003
IEEE
120views Hardware» more  ITC 2003»
15 years 11 months ago
High Quality ATPG for Delay Defects
: The paper presents a novel technique for generating effective vectors for delay defects. The test set achieves high path delay fault coverage to capture smalldistributed delay de...
Puneet Gupta, Michael S. Hsiao
SI3D
2006
ACM
16 years 21 hour ago
Animating blendshape faces by cross-mapping motion capture data
Animating 3D faces to achieve compelling realism is a challenging task in the entertainment industry. Previously proposed face transfer approaches generally require a high-quality...
Zhigang Deng, Pei-Ying Chiang, Pamela Fox, Ulrich ...