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ICCV
2011
IEEE
12 years 6 months ago
Incremental On-line Semi-supervised Learning for Segmenting the Left Ventricle of the Heart from Ultrasound Data
Recently, there has been an increasing interest in the investigation of statistical pattern recognition models for the fully automatic segmentation of the left ventricle (LV) of t...
Gustavo Carneiro, Jacinto C. Nascimento
TSP
2008
102views more  TSP 2008»
13 years 6 months ago
Spatially Adaptive Estimation via Fitted Local Likelihood Techniques
Abstract--This paper offers a new technique for spatially adaptive estimation. The local likelihood is exploited for nonparametric modeling of observations and estimated signals. T...
Vladimir Katkovnik, Vladimir Spokoiny
ICIP
2009
IEEE
13 years 3 months ago
Adaptive correlation estimation for general Wyner-Ziv video coding
Wyner-Ziv video coding (WZVC) is a new paradigm for video compression with the prediction frames possibly only available at the decoder. It exploits the statistics between the sou...
Xiaopeng Fan, Oscar C. Au, Ngai-Man Cheung
ICIP
2005
IEEE
14 years 7 months ago
Asymmetric spread spectrum data-hiding for Laplacian host data
Spread spectrum (SS) or known-host-statistics technique has shown the best performance in terms of both rate of reliable communications and bit error probability at the low waterm...
José-Emilio Vila-Forcén, Oleksiy J. ...
ICDM
2009
IEEE
207views Data Mining» more  ICDM 2009»
13 years 3 months ago
Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes
Multispectral remote sensing images are widely used for automated land use and land cover classification tasks. Remotely sensed images usually cover large geographical areas, and s...
Goo Jun, Ranga Raju Vatsavai, Joydeep Ghosh