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» Clustering for processing rate optimization
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KAIS
2007
75views more  KAIS 2007»
13 years 8 months ago
Non-redundant data clustering
Data clustering is a popular approach for automatically finding classes, concepts, or groups of patterns. In practice this discovery process should avoid redundancies with existi...
David Gondek, Thomas Hofmann
GLOBECOM
2009
IEEE
14 years 2 months ago
A Two-Stage Precoding Method Based on Interference Alignment for Interference Channel Systems
— It was shown by Cadambe and Jafar that the interference alignment (IA) algorithm achieves the theoretical bound on degrees of freedom (DOF) for interference channel systems. Ho...
Hakjea Sung, Seokhwan Park, Kyoung-Jae Lee, Inkyu ...
ISCAS
2007
IEEE
208views Hardware» more  ISCAS 2007»
14 years 2 months ago
Adaptive Lagrange Multiplier Selection for Intra-Frame Video Coding
— The Lagrangian technique proves to be an effective way in Rate-Distortion optimization for hybrid video coding. In this paper, an new Lagrange multiplier selection method for I...
Xiang Li, Norbert Oertel, André Kaup
TIP
2010
131views more  TIP 2010»
13 years 2 months ago
Orientation Modulation for Data Hiding in Clustered-Dot Halftone Prints
We present a new framework for data hiding in images printed with clustered dot halftones. Our application scenario, like other hardcopy embedding methods, encounters fundamental c...
Orhan Bulan, Gaurav Sharma, Vishal Monga
ISNN
2011
Springer
12 years 11 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes