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17 years 3 months ago
Introduction to Statistical Signal Processing
"A random or stochastic process is a mathematical model for a phenomenon that evolves in time in an unpredictable manner from the viewpoint of the observer. The phenomenon m...
R.M. Gray
ACCV
2009
Springer
16 years 1 months ago
Lorentzian Discriminant Projection and Its Applications
This paper develops a supervised dimensionality reduction method, Lorentzian Discriminant Projection (LDP), for discriminant analysis and classification. Our method represents the...
Risheng Liu, Zhixun Su, Zhouchen Lin, Xiaoyu Hou
ICPR
2008
IEEE
16 years 1 months ago
3D localization of partially buried object in unstructured environment
This paper describes a method to localize objects which are partially buried in an unstructured environment. The objects are limited to surfaces of revolution in the present study...
Kenichi Maruyama, Koji Oka, Ryuichi Takase, Yoshih...
PVLDB
2008
138views more  PVLDB 2008»
15 years 6 months ago
A skip-list approach for efficiently processing forecasting queries
Time series data is common in many settings including scientific and financial applications. In these applications, the amount of data is often very large. We seek to support pred...
Tingjian Ge, Stanley B. Zdonik
RECOMB
2004
Springer
16 years 6 months ago
Finding approximate tandem repeats in genomic sequences
An efficient algorithm is presented for detecting approximate tandem repeats in genomic sequences. The algorithm is based on a flexible statistical model which allows a wide range...
Ydo Wexler, Zohar Yakhini, Yechezkel Kashi, Dan Ge...