Principal curves for nonlinear feature extraction and classification

Principal curves for nonlinear feature extraction and classification

Author(s):

Chang,K. ( Univ.of Texas at Austin )
Ghosh,J. ( Univ.of Texas at Austin )

Publication title:

Applications of artificial neural networks in image processing III : 26-27 January 1998, San Jose, California

Title of ser.:

Proceedings of SPIE - the International Society for Optical Engineering

Ser. no.:

3307

Pub. Year:

1998

Page(from):

120

Page(to):

129

Pub. info.:

Bellingham, Wash.: SPIE-The International Society for Optical Engineering

ISSN:

0277786X

ISBN:

9780819427472 [0819427470]

Language:

English

Call no.:

P63600/3307

Type:

Conference Proceedings

Details

TDL ID:	ZA00016451
Series ID:	PA00000029
Conf. info. (Name):	IS&T/SPIE Electronic Imaging : Applications of Artificial Neural Networks in Image Processing
Conf. info. (Number):	1998 : 3rd
Conf. info. (Venue):	San Jose, CA, USA
Conf. info. (Date):	1998.01.26-1998.01.27

Similar Items:

1 Conference Proceedings Three-dimensional model-based object recognition and pose estimation using probabilistic principal surfaces Chang,K., Ghosh,J. SPIE - The International Society for Optical Engineering	7 Conference Proceedings Nonlinear feature extraction for MMW image classification: a supervised approach Maskall, G.T., Webb, A.R. SPIE-The International Society for Optical Engineering
2 Conference Proceedings Multiresolution feature extraction for pairwise classification of hyperspectral data Kumar,S., Ghosh,J., Crawford,M.M. SPIE - The International Society for Optical Engineering	8 Conference Proceedings Region feature extraction and classification D. Xia, H. Li Society of Photo-optical Instrumentation Engineers
3 Conference Proceedings Classification of hyperspectral data using best-bases feature extraction algorithms Kumar,S., Ghosh,J., Crawford,M.M. SPIE - The International Society for Optical Engineering	9 Conference Proceedings Computer-aided diagnosis for classification of focal liver lesions on contrast-enhanced ultrasonography: feature extraction and characterization of vascularity … J. Shiraishi, K. Sugimoto, N. Kamiyama, F. Moriyasu, K. Doi Society of Photo-optical Instrumentation Engineers
4 Conference Proceedings Nonlinear feature extraction extraction applied to ISAR images of targets for classification Maskall,G.T., Webb,A.R. SPIE-The International Society for Optical Engineering	10 Conference Proceedings Classification based on the EMO of hyperspectral curve Y. Xu, K. Hu, J. Han Society of Photo-optical Instrumentation Engineers
5 Conference Proceedings Nonlinear feature extraction and Bayesian mixture model approaches to target classification using MMW ISAR imagery:a preliminary study Britton,A., Copsey,K.D., Maskall,G.T., Webb,A.R., West,K. SPIE - The International Society for Optical Engineering	11 Conference Proceedings Spectral and bispectral feature-extraction neural networks for texture classification Kameyema,K., Kosugi,Y. SPIE-The International Society for Optical Engineering
6 Conference Proceedings Boundary variance reduction for improved classification through hybrid networks K. Tumer, J. Ghosh Society of Photo-optical Instrumentation Engineers	12 Conference Proceedings Automated feature extraction and classification of breast lesions in magnetic resonance images Gilhuijs,K.G.A., Giger,M.L., Bick,U. SPIE-The International Society for Optical Engineering

1

2

3

4

5

6

7

8

9

10

11

12