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119
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IJCAI
2001
15 years 5 months ago
Learning Iterative Image Reconstruction
Successful image reconstruction requires the recognition of a scene and the generation of a clean image of that scene. We propose to use recurrent neural networks for both analysi...
Sven Behnke
166
Voted
IJCNN
2006
IEEE
15 years 9 months ago
Classify Unexpected News Impacts to Stock Price by Incorporating Time Series Analysis into Support Vector Machine
— the paper discusses an approach of using traditional time series analysis, as domain knowledge, to help the data-preparation of support vector machine for classifying documents...
Ting Yu, Tony Jan, John K. Debenham, Simeon J. Sim...
130
Voted
ICONIP
2009
15 years 1 months ago
Gender Classification Based on Support Vector Machine with Automatic Confidence
In this paper, we propose a support vector machine with automatic confidence (SVMAC) for gender classification based on facial images. Namely, we explore how to incorporate confide...
Zheng Ji, Bao-Liang Lu
106
Voted
ICANN
2005
Springer
15 years 9 months ago
Accurate and Robust Image Superresolution by Neural Processing of Local Image Representations
Image superresolution involves the processing of an image sequence to generate a still image with higher resolution. Classical approaches, such as bayesian MAP methods, require ite...
Carlos Miravet, Francisco de Borja Rodrígue...
120
Voted
IJCNN
2007
IEEE
15 years 10 months ago
A Piecewise Linear Network Classifier
— A piecewise linear network is discussed which classifies N-dimensional input vectors. The network uses a distance measure to assign incoming input vectors to an appropriate clu...
A. A. Abdurrab, Michael T. Manry, Jiang Li, Sanjee...