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BMCBI
2006
202views more  BMCBI 2006»
15 years 3 months ago
Spectral embedding finds meaningful (relevant) structure in image and microarray data
Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...
Brandon W. Higgs, Jennifer W. Weller, Jeffrey L. S...
SAC
2005
ACM
15 years 8 months ago
Estimating manifold dimension by inversion error
Video and image datasets can often be described by a small number of parameters, even though each image usually consists of hundreds or thousands of pixels. This observation is of...
Shawn Martin, Alex Bäcker
COMPLIFE
2006
Springer
15 years 6 months ago
Set-Oriented Dimension Reduction: Localizing Principal Component Analysis Via Hidden Markov Models
We present a method for simultaneous dimension reduction and metastability analysis of high dimensional time series. The approach is based on the combination of hidden Markov model...
Illia Horenko, Johannes Schmidt-Ehrenberg, Christo...
CVPR
2009
IEEE
1599views Computer Vision» more  CVPR 2009»
16 years 10 months ago
Multi-Label Sparse Coding for Automatic Image Annotation
In this paper, we present a multi-label sparse coding framework for feature extraction and classification within the context of automatic image annotation. First, each image is ...
Changhu Wang (University of Science and Technology...
3DPVT
2006
IEEE
183views Visualization» more  3DPVT 2006»
15 years 6 months ago
A CSC Based Classification Method for CT Bone Images
The CSC (color structure code) is a robust and fast two dimensional segmentation method which has been already generalized to three dimensional images. As the CSC does not need an...
Patrick Sturm, Lutz Priese, Haojun Wang