Evaluating the informativity of features in dimensionality reduction methods

2011 5th International Conference on Application of Information and Communication Technologies, AICT 2011

Volumn , Issue , 2011, Pages

  Haghighat, Mohammad Bagher Akbari ^a   Namjoo, Ehsan ^a  

^a UNIVERSITY OF TABRIZ   (Iran)

Author keywords

Bayes decision theory; BDF classifier; DCT features; dimensionality reduction; feature extraction

Indexed keywords

ALGORITHM COMPLEXITY; BAYES DECISION THEORY; BAYESIAN CLASSIFIER; DCT FEATURES; DETECTION RATES; DIMENSIONALITY REDUCTION; DIMENSIONALITY REDUCTION METHOD; FEATURE VECTORS; HIGH DETECTION RATE; HOTELLING TRANSFORM; MINIMUM ERROR RATE; MISCLASSIFICATION RATES; RECONSTRUCTION PROPERTY;

COMMUNICATION; DECISION THEORY; DISCRETE COSINE TRANSFORMS; ERROR DETECTION; FACE RECOGNITION; INFORMATION TECHNOLOGY; PRINCIPAL COMPONENT ANALYSIS;

FEATURE EXTRACTION;

EID: 84855951579     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICAICT.2011.6110938     Document Type: Conference Paper

References (14)

1. nd Edition, 2000.
2. H. Cevikalp, M. Neamtu, M. Wilkes, and A. Barkana, "Discriminative Common Vectors for Face Recognition," IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 27, no. 1, pp. 4-13, 2005. (Pubitemid 40195893)
3. S. Yan, D. Xu, B. Zhang, Q. Yang, H. Zhang, and S. Lin, "Graph embedding and extensions: A General Framework for Dimensionality Reduction," IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 29, no. 1, pp. 40-51, 2007. (Pubitemid 46415944)
4. M. Belkin and P. Niyogi, "Towards a Theoretical Foundation for Laplacian-based Manifold Methods," Journal of Computer and System Sciences, vol. 74, no. 8, pp. 1289-1308,2008.
5. C. Liu, "A Bayesian Discriminating Features Method for Face Detection," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 6, pp. 725-740,2003.
6. B. Moghaddam, "Principal Manifolds and Probabilistic Subspaces for Visual Recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 6, pp. 780-788,2002. (Pubitemid 34669591)
7. X. Jiang, "Linear Subspace Learning-Based Dimensionality Reduction," IEEE Signal Processing Magazine, vol. 28, no. 2, pp. 16-26,2011.
8. th Iranian Conference on Machine Vision and Image Processing (MVIP), pp. 379-383, Oct. 2010, Isfahan, Iran.
9. ed Edition, 2006.
10. nd Edition, 1990
11. K. Kim and G. Shevlyakov, "Why Gaussianity?," IEEE Signal Processing Magazine, vol. 25, no. 2, pp. 102-113,2008.
12. Available from: http://www.bioid.comldownload-center/software/bioid-face- database.html .
13. Available from: http://vasc.ri.cmu.edu/idb/html/face.
14. B. Moghaddam and A. Pentland, "Probabilistic Visual Learning for Object Representation, "IEEE Transactions on Pattern Analysis and Machine Intelligence," vol. 19, no. 7, pp. 696-710,1997. (Pubitemid 127762262)