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» On the Error Parameter of Dispersers
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TASLP
2010
122views more  TASLP 2010»
14 years 6 months ago
Error Approximation and Minimum Phone Error Acoustic Model Estimation
Minimum phone error (MPE) acoustic parameter estimation involves calculation of edit distances (errors) between correct and incorrect hypotheses. In the context of large vocabulary...
Matt Gibson 0002, Thomas Hain
PICS
2003
15 years 1 months ago
Error-Diffusion Robust to Mis-Registration in Multi-Pass Printing
Error-diffusion and its variants are commonly used halftoning techniques that produce dispersed dot (FM) halftones, which are often preferred because they are free from low-freque...
Zhigang Fan, Gaurav Sharma, Shen-ge Wang
BMCBI
2004
169views more  BMCBI 2004»
14 years 11 months ago
A power law global error model for the identification of differentially expressed genes in microarray data
Background: High-density oligonucleotide microarray technology enables the discovery of genes that are transcriptionally modulated in different biological samples due to physiolog...
Norman Pavelka, Mattia Pelizzola, Caterina Vizzard...
ECCV
2002
Springer
16 years 1 months ago
Face Identification by Fitting a 3D Morphable Model Using Linear Shape and Texture Error Functions
Abstract This paper presents a novel algorithm aiming at analysis and identification of faces viewed from different poses and illumination conditions. Face analysis from a single i...
Sami Romdhani, Volker Blanz, Thomas Vetter
TNN
2010
168views Management» more  TNN 2010»
14 years 6 months ago
On the selection of weight decay parameter for faulty networks
The weight-decay technique is an effective approach to handle overfitting and weight fault. For fault-free networks, without an appropriate value of decay parameter, the trained ne...
Andrew Chi-Sing Leung, Hongjiang Wang, John Sum