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ICML
2008
IEEE
10 years 21 days ago
Extracting and composing robust features with denoising autoencoders
Previous work has shown that the difficulties in learning deep generative or discriminative models can be overcome by an initial unsupervised learning step that maps inputs to use...
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pi...
JMLR
2012
7 years 2 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
MTA
2016
62views Hardware» more  MTA 2016»
3 years 8 months ago
A multimodal feature learning approach for sentiment analysis of social network multimedia
In this paper we investigate the use of a multimodal feature learning approach, using neural network based models such as Skip-gram and Denoising Autoencoders, to address sentiment...
Claudio Baecchi, Tiberio Uricchio, Marco Bertini, ...
MVA
2007
149views Computer Vision» more  MVA 2007»
9 years 1 months ago
Extraction of Corresponding Points from Stereo Images by Using Intersections of Segments
In many applications, it is necessary to extract corresponding points automatically. In this study, we present a method of extracting corresponding points automatically from stere...
Hiroshi Unno, Keikichi Hayashibe, Hitoshi Saji
ICIP
2002
IEEE
10 years 1 months ago
Semi-fragile image authentication using generic wavelet domain features and ECC
In this paper we present a generic content-based solution targeting at authenticating image in a semi-fragile way, which integrates watermarking-based approach with signature-base...
Qibin Sun, Shih-Fu Chang
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