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In this paper we develop a group theoretical model for the feature extraction part of pattern recognition systems. We argue that the features used should ...
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In this document we review and compare some of the classical and modern techniques for solving the problem of invariant pattern recognition.
Jun 8, 2015 · We analyze in this paper a random feature map based on a theory of invariance I-theory introduced recently.
Jan 8, 2022 · Abstract. We introduce a group-theoretic model of invariant pattern recognition, the Group Representation Network.
Group invariant pattern recognition functions which are adapted to the group transformations. In the next section we will then summarize some known ...
Pattern Recognition · Vol. 23, No. 1-2 · Group invariant pattern recognition. article. Share on. Group invariant pattern recognition. Author: R. Lenz. R. Lenz.
This work presents a unifying formulation of the problem of incorporating invariances into a pattern recognition classifier and extends the SimpleSVM algorithm.
Bibliographic details on Group invariant pattern recognition.
Mar 14, 2024 · This chapter presents a highly general model for the group invariance problem. This model is called the “group representation network” (GRN). In ...
Abstract. A new method for pattern recognition that is invariant under changes of position, orientation, intensity, and scale is presented.