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CSDA
2006
83views more  CSDA 2006»
13 years 4 months ago
Linear grouping using orthogonal regression
A new method to detect different linear structures in a data set, called Linear Grouping Algorithm (LGA), is proposed. LGA is useful for investigating potential linear patterns in...
Stefan Van Aelst, Xiaogang Wang, Ruben H. Zamar, R...
ICPP
2000
IEEE
13 years 9 months ago
Evaluation of Loop Grouping Methods Based on Orthogonal Projection Spaces
This paper compares three similar loop-grouping methods. All methods are based on projecting the n-dimensional iteration space Jn onto a k-dimensional one, called the projected sp...
Ioannis Drositis, Georgios I. Goumas, Nectarios Ko...
ICPR
2004
IEEE
14 years 5 months ago
Regression Analysis and Automorphic Orbits in Free Groups of Rank 2
The main goal of this paper is to show that pattern recognition techniques can be successfully used in abstract algebra. We introduce a pattern recognition system to recognize wor...
Alexei D. Miasnikov, Robert M. Haralick
CORR
2008
Springer
216views Education» more  CORR 2008»
13 years 4 months ago
Building an interpretable fuzzy rule base from data using Orthogonal Least Squares Application to a depollution problem
In many fields where human understanding plays a crucial role, such as bioprocesses, the capacity of extracting knowledge from data is of critical importance. Within this framewor...
Sébastien Destercke, Serge Guillaume, Brigi...
GLOBECOM
2007
IEEE
13 years 11 months ago
Four Group Decodable Differential Scaled Unitary Linear Space-Time Codes
— Differential Unitary Space-Time Block codes (STBCs) offer a means to communicate on the Multiple Input Multiple Output (MIMO) channel without the need for channel knowledge at ...
G. Susinder Rajan, B. Sundar Rajan