Sciweavers

130 search results - page 11 / 26
» Class-adapted image compression using independent component ...
Sort
View
ICMCS
2005
IEEE
138views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Overcomplete ICA-based Manmade Scene Classification
Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...
Matthew Boutell, Jiebo Luo
IJCNN
2000
IEEE
14 years 1 months ago
ICA for Noisy Neurobiological Data
ICA (Independent Component Analysis) is a new technique for analyzing multi-variant data. Lots of results are reported in the field of neurobiological data analysis such as EEG (...
Shiro Ikeda, Keisuke Toyama
ICIP
2007
IEEE
14 years 10 months ago
Image Denoising with Directional Bases
Directional information is an important component of both natural and synthetic images, and it is exploited in many image processing applications. Directional basis analysis is us...
Heechan Park, Graham R. Martin, Zhen Yao
MICCAI
2003
Springer
14 years 9 months ago
Exploratory Identification of Cardiac Noise in fMRI Images
A fast exploratory framework for extracting cardiac noise signals contained in rest-case fMRI images is presented. Highly autocorrelated, independent components of the input time ...
Lilla Zöllei, Lawrence P. Panych, W. Eric L. ...
JIPS
2010
273views more  JIPS 2010»
13 years 3 months ago
Hiding Secret Data in an Image Using Codeword Imitation
This paper proposes a novel reversible data hiding scheme based on a Vector Quantization (VQ) codebook. The proposed scheme uses the principle component analysis (PCA) algorithm to...
Zhi-Hui Wang, Chin-Chen Chang, Pei-Yu Tsai