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» Dimensionality Reduction with Image Data
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ICIC
2005
Springer
15 years 3 months ago
Neighborhood Preserving Projections (NPP): A Novel Linear Dimension Reduction Method
Dimension reduction is a crucial step for pattern recognition and information retrieval tasks to overcome the curse of dimensionality. In this paper a novel unsupervised linear dim...
Yanwei Pang, Lei Zhang, Zhengkai Liu, Nenghai Yu, ...
SGAI
2005
Springer
15 years 3 months ago
The Effect of Principal Component Analysis on Machine Learning Accuracy with High Dimensional Spectral Data
This paper presents the results of an investigation into the use of machine learning methods for the identification of narcotics from Raman spectra. The classification of spectr...
Tom Howley, Michael G. Madden, Marie-Louise O'Conn...
3DPVT
2006
IEEE
183views Visualization» more  3DPVT 2006»
15 years 1 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
ICDM
2003
IEEE
178views Data Mining» more  ICDM 2003»
15 years 3 months ago
Spatial Interest Pixels (SIPs): Useful Low-Level Features of Visual Media Data
Visual media data such as an image is the raw data representation for many important applications. Reducing the dimensionality of raw visual media data is desirable since high dime...
Qi Li, Jieping Ye, Chandra Kambhamettu
VISUALIZATION
2002
IEEE
15 years 2 months ago
Interactive Visualization of Complex Plant Ecosystems
We present a method for interactive rendering of large outdoor scenes. Complex polygonal plant models and whole plant populations are represented by relatively small sets of point...
Oliver Deussen, Carsten Colditz, Marc Stamminger, ...