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DAGM
2005
Springer
14 years 1 months ago
Rapid Online Learning of Objects in a Biologically Motivated Recognition Architecture
We present an approach for the supervised online learning of object representations based on a biologically motivated architecture of visual processing. We use the output of a rece...
Stephan Kirstein, Heiko Wersing, Edgar Körner
SAC
2005
ACM
14 years 1 months ago
Time-varying, multivariate volume data reduction
Large-scale supercomputing is revolutionizing the way science is conducted. A growing challenge, however, is understanding the massive quantities of data produced by largescale si...
Nathaniel Fout, Kwan-Liu Ma, James P. Ahrens
ICMCS
2006
IEEE
159views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Image Vector Quantization Indices Recovery using Lagrange Interpolation
Vector quantization (VQ) is an efficient coding algorithm due to its fast decoding efficiency. Indices of VQ will be lost during the transmission because of the signal interferenc...
Yung-Gi Wu, Chia-Hao Wu
ICASSP
2008
IEEE
14 years 2 months ago
Multilingual weighted codebooks
In this paper we present an approach for speech recognition of multiple languages with constrained resources on embedded devices. Examples of such systems are navigation systems, ...
Martin Raab, Rainer Gruhn, Elmar Nöth
ICASSP
2008
IEEE
14 years 2 months ago
Efficient channel quantization scheme for multi-user MIMO broadcast channels with RBD precoding
Abstract — Regularized block diagonalization (RBD) is a new linear precoding technique for the multi-antenna broadcast channel and has a significantly improved sum rate and dive...
Bin Song, Florian Roemer, Martin Haardt
WSOM
2009
Springer
14 years 2 months ago
Incremental Figure-Ground Segmentation Using Localized Adaptive Metrics in LVQ
Vector quantization methods are confronted with a model selection problem, namely the number of prototypical feature representatives to model each class. In this paper we present a...
Alexander Denecke, Heiko Wersing, Jochen J. Steil,...
DCC
2009
IEEE
14 years 8 months ago
Performing Vector Quantization Using Reduced Data Representation
Erickson Miranda, Guoqiang Shan, Vasileios Megaloo...
ICIP
2007
IEEE
14 years 9 months ago
High Dimension Lattice Vector Quantizer Design for Generalized Gaussian Distributions
LVQ is a simple but powerful tool for vector quantization and can be viewed as a vector generalization of uniform scalar quantization. Like VQ, LVQ is able to take into account sp...
Leonardo H. Fonteles, Marc Antonini