Results 221 to 230 of about 4,817,340 (289)

Submodular Attribute Selection for Visual Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017
In real-world visual recognition problems, low-level features cannot adequately characterize the semantic content in images, or the spatio-temporal structure in videos. In this work, we encode objects or actions based on attributes that describe them as high-level concepts. We consider two types of attributes.
, Jingjing Zheng   +2 more
openaire   +3 more sources

A wrapper based binary bat algorithm with greedy crossover for attribute selection

Expert systems with applications, 2022
Attribute selection plays a vital role in optimization and machine learning that involves huge datasets. Classification accuracy of any learning model depends on the dimensionality of data and attributes selected.
S. Akila, S. A. Christe
semanticscholar   +1 more source

Selective attribute rules

Journal of Economics, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dongwoo Lee, Hans Haller
openaire   +2 more sources

Attribute selection for heterogeneous data based on information entropy

International Journal of General Systems, 2021
Attribute selection in an information system is one of the important applications of rough set theory. This paper studies attribute selection for heterogeneous data based on information entropy.
Zhaowen Li   +3 more
semanticscholar   +1 more source

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