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JMLR
2012
11 years 10 months ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
ACL
2011
12 years 11 months ago
Learning Sub-Word Units for Open Vocabulary Speech Recognition
Large vocabulary speech recognition systems fail to recognize words beyond their vocabulary, many of which are information rich terms, like named entities or foreign words. Hybrid...
Carolina Parada, Mark Dredze, Abhinav Sethy, Ariya...
AVBPA
2005
Springer
238views Biometrics» more  AVBPA 2005»
14 years 1 months ago
Modelling the Time-Variant Covariates for Gait Recognition
This paper deals with a problem of recognition by gait when time-dependent covariates are added, i.e. when 6 months have passed between recording of the gallery and the probe sets....
Galina V. Veres, Mark S. Nixon, John N. Carter
DAS
2008
Springer
13 years 9 months ago
An End-to-End Administrative Document Analysis System
This paper presents an end-to-end administrative document analysis system. This system uses case-based reasoning in order to process documents from known and unknown classes. For ...
Hatem Hamza, Yolande Belaïd, Abdel Belaï...
IJON
2007
184views more  IJON 2007»
13 years 7 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen