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ICMLA
2007
13 years 6 months ago
Maximum Likelihood Quantization of Genomic Features Using Dynamic Programming
Dynamic programming is introduced to quantize a continuous random variable into a discrete random variable. Quantization is often useful before statistical analysis or reconstruct...
Mingzhou (Joe) Song, Robert M. Haralick, Sté...
CORR
2007
Springer
82views Education» more  CORR 2007»
13 years 5 months ago
One-bit Distributed Sensing and Coding for Field Estimation in Sensor Networks
Abstract—This paper formulates and studies a general distributed field reconstruction problem using a dense network of noisy one-bit randomized scalar quantizers in the presence...
Ye Wang, Prakash Ishwar, Venkatesh Saligrama
MA
2010
Springer
206views Communications» more  MA 2010»
13 years 3 months ago
Quantization and clustering with Bregman divergences
 This paper deals with the quantization problem of a random variable X taking values in a separable and reexive Banach space, and with the related question of clustering independ...
Aurélie Fischer
ICMCS
2006
IEEE
121views Multimedia» more  ICMCS 2006»
13 years 11 months ago
An Optimal Non-Uniform Scalar Quantizer for Distributed Video Coding
In this paper, we propose a novel algorithm to design an optimal non-uniform scalar quantizer for distributed video coding, which aims at achieving a coding rate close to joint co...
Bo Wu, Xun Guo, Debin Zhao, Wen Gao, Feng Wu
GECCO
2000
Springer
114views Optimization» more  GECCO 2000»
13 years 9 months ago
Intelligent Recombination Using Individual Learning in a Collective Learning Genetic Algorithm
This paper introduces a new collective learning genetic algorithm (CLGA) which employs individual learning to do intelligent recombination based on a cooperative exchange of knowl...
Terry P. Riopka, Peter Bock