Feature representation and discrimination based on Gaussian mixture model probability densities - Practices and algorithms
暂无分享,去创建一个
Joni-Kristian Kämäräinen | Jarmo Ilonen | Heikki Kälviäinen | Pekka Paalanen | J. Kämäräinen | H. Kälviäinen | J. Ilonen | P. Paalanen
[1] J. Parkkinen,et al. Classification of the reflectance spectra of pine, spruce, and birch. , 1994, Applied optics.
[2] Leo Breiman,et al. Classification and Regression Trees , 1984 .
[3] Jeff A. Bilmes,et al. A gentle tutorial of the em algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models , 1998 .
[4] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[5] B. Ripley,et al. Pattern Recognition , 1968, Nature.
[6] Garry J. Tee,et al. Surface Area and Capacity of Ellipsoids in n Dimensions. (CITR) , 2004 .
[7] Jarmo Partanen,et al. Bearing damage detection based on statistical discrimination of stator current , 2003, 4th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, 2003. SDEMPED 2003..
[8] Y. L. Tong. The multivariate normal distribution , 1989 .
[9] Anil K. Jain,et al. Unsupervised Learning of Finite Mixture Models , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[10] Joni-Kristian Kämäräinen,et al. Improving similarity measures of histograms using smoothing projections , 2003, Pattern Recognit. Lett..
[11] A. Cohen,et al. Finite Mixture Distributions , 1982 .
[12] Shigeo Abe DrEng. Pattern Classification , 2001, Springer London.
[13] Joni-Kristian Kämäräinen. Feature extraction using Gabor filters , 2003 .
[14] Václav Hlavác,et al. Ten Lectures on Statistical and Structural Pattern Recognition , 2002, Computational Imaging and Vision.
[15] Sergios Theodoridis,et al. Pattern Recognition, Third Edition , 2006 .
[16] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[17] David G. Stork,et al. Pattern Classification , 1973 .
[18] Nello Cristianini,et al. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .
[19] P. N. Somerville. Numerical Computation of Multivariate Normal and Multivariate-t Probabilities over Convex Regions , 1998 .
[20] Rob J Hyndman,et al. Computing and Graphing Highest Density Regions , 1996 .
[21] Miroslav Hamouz. Feature-based affine-invariant detection and localization of faces , 2004 .
[22] Paul N. Somerville,et al. Numerical Computation of Multivariate Normal and Multivariate t Probabilities over Ellipsoidal Regions , 2001 .
[23] J. Ilonen,et al. Automatic detection and recognition of hazardous chemical agents , 2002, 2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628).
[24] Ivan Nagy,et al. Factorized EM Algorithm for Mixture Estimation , 2001 .
[25] N. R. Goodman. Statistical analysis based on a certain multivariate complex Gaussian distribution , 1963 .
[26] Ben J. A. Kröse,et al. Efficient Greedy Learning of Gaussian Mixture Models , 2003, Neural Computation.
[27] Jiri Matas,et al. Feature-based affine-invariant localization of faces , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Robert J. Schalkoff,et al. Pattern recognition - statistical, structural and neural approaches , 1991 .
[29] Josef Kittler,et al. Affine-invariant face detection and localization using GMM-based feature detector and enhanced appearance model , 2004, Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings..
[30] Joni-Kristian Kämäräinen,et al. Simple Gabor feature space for invariant object recognition , 2004, Pattern Recognit. Lett..
[31] Heekuck Oh,et al. Neural Networks for Pattern Recognition , 1993, Adv. Comput..