Building smooth neighbourhood kernels via functional data analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3697 LNCS, Issue , 2005, Pages 631-636

  Muñoz, Alberto ^a   Moguerza, Javier M ^b  

^a UNIVERSIDAD CARLOS III DE MADRID   (Spain)

^b UNIVERSIDAD REY JUAN CARLOS   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER SCIENCE; DATA PROCESSING; DATABASE SYSTEMS; NEURAL NETWORKS; PROBABILITY DENSITY FUNCTION;

FUNCTIONAL DATA ANALYSIS TECHNIQUES; MULTIVARIATE DATA SAMPLES; ONE-CLASS PROBLEM; SMOOTH KERNEL FUNCTIONS;

DATA REDUCTION;

EID: 33646243574     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (5)

1. J.M. Moguerza and A. Muñoz. Solving the One-Class Problem Using Neighbourhood Measures. Lecture Notes in Computer Science, 3138:680-688, 2004.
2. J.O. Ramsay and B.W. Silverman. Functional Data Analysis. Springer, 1997.
3. B. Schölkopf, J.C. Platt, J. Shawe-Taylor, A.J. Smola and R.C. Williamson. Estimating the Support of a High Dimensional Distribution. Neural Computation, 13(7):1443-1471, 2001.
4. B.W. Silverman. Density Estimation for Statistics and Data Analysis. Chapman and Hall, 1990.
5. A.N. Tikhonov and V.Y. Arsenin. Solutions of ill-posed problems. John Wiley & Sons, New York, 1977.