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» On High Dimensional Skylines
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CIBCB
2006
IEEE
16 years 9 days ago
Visualization of Support Vector Machines with Unsupervised Learning
– The visualization of support vector machines in realistic settings is a difficult problem due to the high dimensionality of the typical datasets involved. However, such visuali...
Lutz Hamel
ICMCS
2006
IEEE
105views Multimedia» more  ICMCS 2006»
16 years 8 days ago
Entropy and Memory Constrained Vector Quantization with Separability Based Feature Selection
An iterative model selection algorithm is proposed. The algorithm seeks relevant features and an optimal number of codewords (or codebook size) as part of the optimization. We use...
Sangho Yoon, Robert M. Gray
IJCNN
2006
IEEE
16 years 8 days ago
SOM-Based Sparse Binary Encoding for AURA Classifier
—The AURA k-Nearest Neighbour classifier associates binary input and output vectors, forming a compact binary Correlation Matrix Memory (CMM). For a new input vector, matching ve...
Simon O'Keefe
ISCC
2006
IEEE
123views Communications» more  ISCC 2006»
16 years 7 days ago
Similarity Search in a Hybrid Overlay P2P Network
P2P systems are increasingly used to discover and share various data between users. The performance of a P2P based information retrieval system is determined by the efficiency of...
Mouna Kacimi, Kokou Yétongnon
SAC
2006
ACM
16 years 5 days ago
Schemes for SR-Tree packing
Modern database applications like geographic information systems, multimedia databases, and digital libraries dealing with huge volumes of high dimensional data, make use of multi...
Jayendra Venkateswaran, S. R. Subramanya