Now showing items 11-20 of 128
Design of Optimal Feature Extractors by Mathematical Programming Techniques
In an automatic pattern recognition system, the processor that selects and measures features fo the data, on the basis of which classification is made, is called a "feature selector" or "feature extractor". This paper ...
Feature Extraction Techniques for Classification and Identification of Spectral Signatures
Some of the results obtained at Rice University on the extraction of features from spectral signatures for the purpose of classifying and identifying these signatures are described.
As an extension of the notion of an L-g spline, three mathematical structures called LM-g splines of types, I, II and II are introduced. (partial abstract)...
Sequential gradient-restoration algorithm for optimal control problems with general boundary conditions
This thesis considers the numerical solution of two classes of optimal control problems, called Problem P1 and Problem P2 for easy identification. Problem P1 involves a functional I subject to differential constraints and ...
On a Class of Minimum Energy Controls Related to Spline Functions
The problem of determining a minimum energy control for a dynamically interconnected set of p single-input single-output finite-dimensional linear time-varying dynamical systems, for which the outputs are constrained to ...