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ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
14 years 3 months ago
Regression Learning Vector Quantization
— Learning Vector Quantization (LVQ) is a popular class of nearest prototype classifiers for multiclass classification. Learning algorithms from this family are widely used becau...
Mihajlo Grbovic, Slobodan Vucetic
CORR
2010
Springer
47views Education» more  CORR 2010»
13 years 8 months ago
Lower bounds for the error decay incurred by coarse quantization schemes
Several analog-to-digital conversion methods for bandlimited signals used in applications, such as quantization schemes, employ coarse quantization coupled with oversampling. The...
Felix Krahmer, Rachel Ward
ICIP
1998
IEEE
14 years 10 months ago
Adaptive Wavelet Packet Image Coding using an Estimation-Quantization Framework
In this paper, we extend the statistical model-based Estimation-Quantization (EQ) wavelet image coding algorithm introduced in [?] to include an adaptive transform component. For ...
Kannan Ramchandran, Mehmet Kivanç Mih&ccedi...
DCC
2007
IEEE
14 years 8 months ago
Joint Optimization of Distributed Broadcast Quantization Systems for Classification
We develop a simulated annealing technique to jointly optimize a distributed quantization structure meant to maximize the asymptotic error exponent of a downstream classifier or d...
Michael A. Lexa, Don H. Johnson
ICASSP
2010
IEEE
13 years 8 months ago
Empirical quantization for sparse sampling systems
We propose a quantization design technique (estimator) suitable for new compressed sensing sampling systems whose ultimate goal is classification or detection. The design is base...
Michael A. Lexa