1344 search results - page 125 / 269 » Quantization |
115
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SSWMC
2004
15 years 2 months ago
2004
The use of kernel Fisher discriminants is used to detect the presence of JPEG based hiding methods. The feature vector for the kernel discriminant is constructed from the quantize...
137
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NIPS
1994
15 years 2 months ago
1994
This paper studies the convergence properties of the well known K-Means clustering algorithm. The K-Means algorithm can be described either as a gradient descent algorithmor by sl...
CORR
2010
Springer
15 years 1 months ago
2010
Springer
Random Indexing K-tree is the combination of two algorithms suited for large scale document clustering. Keywords Random Indexing, K-tree, Dimensionality Reduction, B-tree, Search T...
104
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JDCTA
2008
15 years 1 months ago
2008
Given quantization and clustering classification of the deviations between TM and ETM+ multibandwidth images based on approved thresholds, a calibration algorithm for the correlat...
PRL
2006
15 years 1 months ago
2006
We propose to use learning vector quantization (LVQ) in novelty detection where a few outliers exist in training data. The codebook update of original LVQ is modified and the sche...