Matveev, Andrey O.
Pattern Recognition on Oriented Matroids
- A state-of-the-art text on pattern recognition on oriented matroids
- Provides a hands-on approach for researchers and professionals alike
- Essential reading for all interested in the theory behind pattern recognition and machine learning
Aims and Scope
Pattern Recognition on Oriented Matroids covers a range of innovative problems in combinatorics, poset and graph theories, optimization, and number theory that constitute a far-reaching extension of the arsenal of committee methods in pattern recognition. The groundwork for the modern committee theory was laid in the mid-1960s, when it was shown that the familiar notion of solution to a feasible system of linear inequalities has ingenious analogues which can serve as collective solutions to infeasible systems. A hierarchy of dialects in the language of mathematics, for instance, open cones in the context of linear inequality systems, regions of hyperplane arrangements, and maximal covectors (or topes) of oriented matroids, provides an excellent opportunity to take a fresh look at the infeasible system of homogeneous strict linear inequalities – the standard working model for the contradictory two-class pattern recognition problem in its geometric setting. The universal language of oriented matroid theory considerably simplifies a structural and enumerative analysis of applied aspects of the infeasibility phenomenon.
The present book is devoted to several selected topics in the emerging theory of pattern recognition on oriented matroids: the questions of existence and applicability of matroidal generalizations of committee decision rules and related graph-theoretic constructions to oriented matroids with very weak restrictions on their structural properties; a study (in which, in particular, interesting subsequences of the Farey sequence appear naturally) of the hierarchy of the corresponding tope committees; a description of the three-tope committees that are the most attractive approximation to the notion of solution to an infeasible system of linear constraints; an application of convexity in oriented matroids as well as blocker constructions in combinatorial optimization and in poset theory to enumerative problems on tope committees; an attempt to clarify how elementary changes (one-element reorientations) in an oriented matroid affect the family of its tope committees; a discrete Fourier analysis of the important family of critical tope committees through rank and distance relations in the tope poset and the tope graph; the characterization of a key combinatorial role played by the symmetric cycles in hypercube graphs.
Oriented Matroids, the Pattern Recognition Problem, and Tope Committees
Dehn–Sommerville Type Relations
Blocking Sets of Set Families, and Absolute Blocking Constructions in Posets
Committees of Set Families, and Relative Blocking Constructions in Posets
Layers of Tope Committees
Halfspaces, Convex Sets, and Tope Committees
Tope Committees and Reorientations of Oriented Matroids
Topes and Critical Committees
Critical Committees and Distance Signals
Symmetric Cycles in the Hypercube Graphs