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» Vector map compression: a clustering approach
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GIS
2002
ACM
13 years 4 months ago
Vector map compression: a clustering approach
Shashi Shekhar, Yan Huang, Judy Djugash, Changqing...
ICPR
2010
IEEE
13 years 6 months ago
Compressing Sparse Feature Vectors Using Random Ortho-Projections
In this paper we investigate the usage of random ortho-projections in the compression of sparse feature vectors. The study is carried out by evaluating the compressed features in ...
Esa Rahtu, Mikko Salo, Janne Heikkilä
DCC
2006
IEEE
14 years 4 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
ICANN
2005
Springer
13 years 10 months ago
Self Organizing Map (SOM) Approach for Classification of Power Quality Events
In this work, Self Organizing Map (SOM) is used in order to classify the types of defections in electrical systems, known as Power Quality (PQ) events. The features for classificat...
Emin Germen, Dogãn Gökhan Ece, Öm...
HPCA
2001
IEEE
14 years 5 months ago
A New Scalable Directory Architecture for Large-Scale Multiprocessors
The memory overhead introduced by directories constitutes a major hurdle in the scalability of cc-NUMA architectures, which makes the shared-memory paradigm unfeasible for very la...
Manuel E. Acacio, José González, Jos...