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» Learning Models for Object Recognition
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CSL
2008
Springer
15 years 3 months ago
A stopping criterion for active learning
Active learning (AL) is a framework that attempts to reduce the cost of annotating training material for statistical learning methods. While a lot of papers have been presented on...
Andreas Vlachos
AVBPA
2001
Springer
117views Biometrics» more  AVBPA 2001»
15 years 8 months ago
Hand Recognition Using Implicit Polynomials and Geometric Features
Person identification and verification using biometric methods is getting more and more important in today’s information society; resulting in increased utilization of systems th...
Cenker Öden, Aytül Erçil, Vedat T...
CVPR
2008
IEEE
16 years 5 months ago
The Logistic Random Field - A convenient graphical model for learning parameters for MRF-based labeling
Graphical models are fundamental tools for modeling images and other applications. In this paper, we propose the Logistic Random Field (LRF) model for representing a discrete-valu...
Marshall F. Tappen, Kegan G. G. Samuel, Craig V. D...
157
Voted
NIPS
2008
15 years 5 months ago
Natural Image Denoising with Convolutional Networks
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
Viren Jain, H. Sebastian Seung
119
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Discriminative training methods for language models using conditional entropy criteria
This paper addresses the problem of discriminative training of language models that does not require any transcribed acoustic data. We propose to minimize the conditional entropy ...
Jui-Ting Huang, Xiao Li, Alex Acero