Godfried T. Toussaint mostly deals with Combinatorics, Artificial intelligence, Convex hull, Computational geometry and Algorithm. His research integrates issues of Discrete mathematics, Upper and lower bounds and Polygon in his study of Combinatorics. Godfried T. Toussaint interconnects Computer vision and Pattern recognition in the investigation of issues within Artificial intelligence.
His study in Convex hull is interdisciplinary in nature, drawing from both Voronoi diagram and Convex polytope. His work carried out in the field of Computational geometry brings together such families of science as Point, Theoretical computer science, Set, Facility location problem and Plane. He usually deals with Theoretical computer science and limits it to topics linked to Pattern analysis and Relative neighborhood graph.
Godfried T. Toussaint spends much of his time researching Combinatorics, Artificial intelligence, Polygon, Algorithm and Discrete mathematics. The Combinatorics study combines topics in areas such as Regular polygon, Convex hull, Simple polygon and Star-shaped polygon. His research investigates the connection between Regular polygon and topics such as Plane that intersect with problems in Simple.
As a member of one scientific family, he mostly works in the field of Convex hull, focusing on Convex polytope and, on occasion, Orthogonal convex hull. Godfried T. Toussaint has included themes like Machine learning, Rhythm and Pattern recognition in his Artificial intelligence study. His study of Computational geometry is a part of Algorithm.
His primary areas of investigation include Rhythm, Combinatorics, Artificial intelligence, Speech recognition and Discrete mathematics. His work deals with themes such as Plane and Polygon, which intersect with Combinatorics. He has researched Polygon in several fields, including Intersection and Theoretical computer science.
His Artificial intelligence research includes themes of Natural language processing, Machine learning, Indifference graph and Pattern recognition. His Pattern recognition research incorporates themes from Time complexity and Decision rule. His Discrete mathematics research includes elements of Mirror symmetry and Binary number.
Rhythm, Combinatorics, Artificial intelligence, Discrete mathematics and Guard are his primary areas of study. His Rhythm study integrates concerns from other disciplines, such as Music theory, Communication, Audiology, Music information retrieval and Duration. His Music theory study incorporates themes from Edit distance, Correlation and Pattern recognition.
His research combines Nearest neighbor graph and Combinatorics. His study looks at the relationship between Artificial intelligence and fields such as Natural language processing, as well as how they intersect with chemical problems. His Discrete mathematics research is multidisciplinary, incorporating perspectives in Relative interior, Simple polygon, Art gallery problem, Polygon and Edge.
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The relative neighbourhood graph of a finite planar set
Godfried T. Toussaint.
Pattern Recognition (1980)
Relative neighborhood graphs and their relatives
J.W. Jaromczyk;G.T. Toussaint.
Proceedings of the IEEE (1992)
Solving geometric problems with the rotating calipers
Godfried T. Toussaint.
Proceedings of the IEEE MELECON, 1983 (1983)
Bibliography on estimation of misclassification
G. Toussaint.
IEEE Transactions on Information Theory (1974)
PATTERN RECOGNITION AND GEOMETRICAL COMPLEXITY.
Godfried T. Toussaint.
Unknown conference (1980)
Computing the width of a set
M.E. Houle;G.T. Toussaint.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1988)
A fast convex hull algorithm
Selim G. Akl;Godfried T. Toussaint.
Information Processing Letters (1978)
The use of context in pattern recognition
Godfried T. Toussaint.
Pattern Recognition (1978)
An efficient algorithm for decomposing a polygon into star-shaped polygons
David Avis;Godfried T. Toussaint.
Pattern Recognition (1981)
Movable Separability of Sets
Godfried T. Toussaint.
Machine Intelligence and Pattern Recognition (1985)
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