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ICML
2008
IEEE
14 years 5 months 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
11 years 7 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
MVA
2007
149views Computer Vision» more  MVA 2007»
13 years 6 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
14 years 6 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
MMM
2006
Springer
154views Multimedia» more  MMM 2006»
13 years 10 months ago
A robust object shape prediction algorithm in the presence of white Gaussian noise
This paper presents a shape prediction algorithm in a noisy video sequence based on pixel representation in the undecimated wavelet domain. In our algorithm for tracking of user-d...
Mohammad Khansari, Hamid R. Rabiee, M. Asadi, M. G...