In image retrieval involving bag of visual words, reduction dimension is a fundamental task of data preprocessing. In recent years, several methods have been ...
In this article, we propose an application of a logic reduction dimension method which is based on Formal Concept Analysis for image retrieval. This method is ...
This article proposes an appli- cation of a logic reduction dimension method which is based on Formal Concept Analysis for image retrieval and is the ...
In this article, we propose an application of a logic reduction dimension method which is based on Formal Concept Analysis for image retrieval. This method is ...
Bibliographic details on Reduction Dimension of Bags of Visual Words with FCA.
... /cla2014_submission_25⫸Vol-1252/cla2014_submission_26. Arnaud Revel Karell Bertet Ngoc Bich Dao. Reduction Dimension of Bags of Visual Words with FCA.
[PDF] Dimensionality reduction for bag-of-words models: PCA vs LSA
cs229.stanford.edu › final-reports
We study a collection of texts stored as “bags of words” and implement two methods for reducing the dimension of the data. We compare how easy it is to ...
Missing: Visual FCA.
Formal concept analysis (FCA) provides an algorithm to perform such dimension reduction. However, the requirements of FCA limit its performance. In order to ...
Feb 2, 2023 · In this paper, we propose a new CBIR framework based on the visual words fusion of multiple feature descriptors to achieve an improved retrieval performance.
Missing: FCA. | Show results with:FCA.
Mar 1, 2024 · This paper presents a novel approach, amalgamating a conventional machine learning technique, Bag of Visual Words, with a pretrained deep neural network.
Missing: Dimension FCA.