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» Model Kit for Lightweight Data Compression Algorithms
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ICIP
2001
IEEE
16 years 1 months ago
Minimum discrimination information clustering: modeling and quantization with Gauss mixtures
Gauss mixtures have gained popularity in statistics and statistical signal processing applications for a variety of reasons, including their ability to well approximatea large cla...
Robert M. Gray, John C. Young, Anuradha K. Aiyer
81
Voted
DCC
2009
IEEE
16 years 7 days ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang
ICIP
2007
IEEE
16 years 1 months ago
Compressed Sensing Image Reconstruction Via Recursive Spatially Adaptive Filtering
We introduce a new approach to image reconstruction from highly incomplete data. The available data are assumed to be a small collection of spectral coef?cients of an arbitrary li...
Karen O. Egiazarian, Alessandro Foi, Vladimir Katk...
106
Voted
EUROPAR
2007
Springer
15 years 5 months ago
Towards Real-Time Compression of Hyperspectral Images Using Virtex-II FPGAs
Abstract. Hyperspectral imagery is a new type of high-dimensional image data which is now used in many Earth-based and planetary exploration applications. Many efforts have been d...
Antonio Plaza
88
Voted
TOG
2002
127views more  TOG 2002»
14 years 11 months ago
Progressive lossless compression of arbitrary simplicial complexes
Efficient algorithms for compressing geometric data have been widely developed in the recent years, but they are mainly designed for closed polyhedral surfaces which are manifold ...
Pierre-Marie Gandoin, Olivier Devillers