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» Error concealment using a diffusion based method
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ECML
2007
Springer
15 years 4 months ago
Avoiding Boosting Overfitting by Removing Confusing Samples
Boosting methods are known to exhibit noticeable overfitting on some datasets, while being immune to overfitting on other ones. In this paper we show that standard boosting algorit...
Alexander Vezhnevets, Olga Barinova
VTC
2006
IEEE
160views Communications» more  VTC 2006»
15 years 3 months ago
On the Accuracy Improvement Issues in GSM Location Fingerprinting
– Determining the position of mobile users in GSM networks has become more and more important. Such services as emergency calls and other location dependent services have been of...
Claude Mbusa Takenga, Quan Wen, Kyandoghere Kyamak...
ISMIR
2001
Springer
146views Music» more  ISMIR 2001»
15 years 2 months ago
An Audio Front End for Query-by-Humming Systems
In this paper, the problem of processing audio signals is addressed in the context of query-by-humming systems. Since singing is naturally used as input, we aim to develop a front...
Emanuele Pollastri
FDTC
2006
Springer
80views Cryptology» more  FDTC 2006»
15 years 1 months ago
Robust Finite Field Arithmetic for Fault-Tolerant Public-Key Cryptography
We present a new approach to fault tolerant public key cryptography based on redundant arithmetic in finite rings. Redundancy is achieved by embedding non-redundant field or ring ...
Gunnar Gaubatz, Berk Sunar
ICMCS
2009
IEEE
189views Multimedia» more  ICMCS 2009»
14 years 7 months ago
Emotion recognition from speech VIA boosted Gaussian mixture models
Gaussian mixture models (GMMs) and the minimum error rate classifier (i.e. Bayesian optimal classifier) are popular and effective tools for speech emotion recognition. Typically, ...
Hao Tang, Stephen M. Chu, Mark Hasegawa-Johnson, T...