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ICMLA
2007
15 years 3 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»
15 years 1 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»
15 years 7 days 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»
15 years 7 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»
15 years 5 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