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ICIP
2005
IEEE
15 years 11 months ago
Variational multi-wavelet restoration of noisy images
This paper presents a new technique for noise removal in images. It benefits both from the recent advances in waveletbased and variational denoising. Whereas wavelet-based analys...
Ronan Fablet, Jean-Marie Augustin
168
Voted
SSIAI
2002
IEEE
15 years 10 months ago
A Wavelet Filter Bank Which Minimizes a Novel Translation Invariant Discrete Uncertainty Measure
We develop a novel measure of joint time-frequency localization applicable to equivalence classes of finite-length discrete signals, which are of increasing importance in modern ...
Peter C. Tay, Joseph P. Havlicek, Victor E. DeBrun...
TMM
2010
249views Management» more  TMM 2010»
15 years 8 days ago
Bridging the Semantic Gap Between Image Contents and Tags
With the exponential growth of Web 2.0 applications, tags have been used extensively to describe the image contents on the Web. Due to the noisy and sparse nature in the human gene...
Hao Ma, Jianke Zhu, Michael R. Lyu, Irwin King
ICDAR
2009
IEEE
15 years 3 months ago
Document Image Binarisation Using Markov Field Model
This paper presents a new approach for the binarization of seriously degraded manuscript. We introduce a new technique based on a Markov Random Field (MRF) model of the document. ...
Thibault Lelore, Frédéric Bouchara
179
Voted
TNN
2010
205views Management» more  TNN 2010»
15 years 8 days ago
Behavior-constrained support vector machines for fMRI data analysis
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...
Danmei Chen, Sheng Li, Zoe Kourtzi, Si Wu