Logical-Combinatorial Approaches in Dynamic Recognition Problems
arXiv:2101.11066v15 citations
Originality Synthesis-oriented
AI Analysis
This addresses a pattern recognition problem for scenarios requiring unified object allocation, but appears incremental as it adapts existing logical-combinatorial approaches.
The paper tackles the problem of dynamic recognition by aiming to allocate all objects to a single 'normal' class, rather than classifying them into multiple classes based on a learning set, with results not specified in the abstract.
A pattern recognition scenario, where instead of object classification into the classes by the learning set, the algorithm aims to allocate all objects to the same, the so-called normal class, is the research objective.