Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387444315> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W4387444315 abstract "Many problems change or appear quickly over time, and it is necessary to obtain label examples for performing classification tasks with supervised learning. In agricultural classification problems where there can be variations due to seasons and other elements, it is necessary to obtain quick solutions such as for performing yield estimation. The paper details an active learning approach using clustering for minimizing the number of labeled examples in the supervised classifier, by selecting only the most relevant examples to label manually. We propose to compare k-means and spectral clustering for the creation of the trained ground truth for a multi-layer perceptron. In addition, we compare three rotation invariant texture descriptors on each color channel: 1) Brightness, Contrast & Directed Gradients Information, 2) Color Histograms, and 3) Local Binary Patterns. Finally, we assess the impact of using RGB vs. HSV as the color model in the classification performance. The evaluation is performed on two data sets of images containing grape images of different sorts. The results show that it is possible to reach an accuracy of $approx$ 95% while decreasing the number of blocks to label from 8504 to 50. The results suggest that the proposed active learning can substantially reduce the amount of manual labor for creating the ground truth despite a limited loss in performance." @default.
- W4387444315 created "2023-10-10" @default.
- W4387444315 creator A5019730270 @default.
- W4387444315 creator A5025447862 @default.
- W4387444315 creator A5093026137 @default.
- W4387444315 date "2023-07-08" @default.
- W4387444315 modified "2023-10-11" @default.
- W4387444315 title "Active Learning Based on Clustering Algorithms for the Detection of Grapes in Images" @default.
- W4387444315 cites W1603669714 @default.
- W4387444315 cites W1859362482 @default.
- W4387444315 cites W1980180011 @default.
- W4387444315 cites W2009433632 @default.
- W4387444315 cites W2011430131 @default.
- W4387444315 cites W2017745767 @default.
- W4387444315 cites W2121947440 @default.
- W4387444315 cites W2132914434 @default.
- W4387444315 cites W2136013650 @default.
- W4387444315 cites W2140405352 @default.
- W4387444315 cites W2163352848 @default.
- W4387444315 cites W2396098103 @default.
- W4387444315 cites W2416166220 @default.
- W4387444315 cites W2511363933 @default.
- W4387444315 cites W2536455790 @default.
- W4387444315 cites W2550043609 @default.
- W4387444315 cites W3028857369 @default.
- W4387444315 cites W3048804154 @default.
- W4387444315 cites W3206569895 @default.
- W4387444315 cites W35739717 @default.
- W4387444315 doi "https://doi.org/10.1109/icsip57908.2023.10271067" @default.
- W4387444315 hasPublicationYear "2023" @default.
- W4387444315 type Work @default.
- W4387444315 citedByCount "0" @default.
- W4387444315 crossrefType "proceedings-article" @default.
- W4387444315 hasAuthorship W4387444315A5019730270 @default.
- W4387444315 hasAuthorship W4387444315A5025447862 @default.
- W4387444315 hasAuthorship W4387444315A5093026137 @default.
- W4387444315 hasConcept C115961682 @default.
- W4387444315 hasConcept C119857082 @default.
- W4387444315 hasConcept C120665830 @default.
- W4387444315 hasConcept C121332964 @default.
- W4387444315 hasConcept C125245961 @default.
- W4387444315 hasConcept C146849305 @default.
- W4387444315 hasConcept C153180895 @default.
- W4387444315 hasConcept C154945302 @default.
- W4387444315 hasConcept C41008148 @default.
- W4387444315 hasConcept C50644808 @default.
- W4387444315 hasConcept C53533937 @default.
- W4387444315 hasConcept C60908668 @default.
- W4387444315 hasConcept C73555534 @default.
- W4387444315 hasConcept C82990744 @default.
- W4387444315 hasConcept C95623464 @default.
- W4387444315 hasConceptScore W4387444315C115961682 @default.
- W4387444315 hasConceptScore W4387444315C119857082 @default.
- W4387444315 hasConceptScore W4387444315C120665830 @default.
- W4387444315 hasConceptScore W4387444315C121332964 @default.
- W4387444315 hasConceptScore W4387444315C125245961 @default.
- W4387444315 hasConceptScore W4387444315C146849305 @default.
- W4387444315 hasConceptScore W4387444315C153180895 @default.
- W4387444315 hasConceptScore W4387444315C154945302 @default.
- W4387444315 hasConceptScore W4387444315C41008148 @default.
- W4387444315 hasConceptScore W4387444315C50644808 @default.
- W4387444315 hasConceptScore W4387444315C53533937 @default.
- W4387444315 hasConceptScore W4387444315C60908668 @default.
- W4387444315 hasConceptScore W4387444315C73555534 @default.
- W4387444315 hasConceptScore W4387444315C82990744 @default.
- W4387444315 hasConceptScore W4387444315C95623464 @default.
- W4387444315 hasFunder F4320332299 @default.
- W4387444315 hasLocation W43874443151 @default.
- W4387444315 hasOpenAccess W4387444315 @default.
- W4387444315 hasPrimaryLocation W43874443151 @default.
- W4387444315 hasRelatedWork W1003800352 @default.
- W4387444315 hasRelatedWork W1953485902 @default.
- W4387444315 hasRelatedWork W2052546562 @default.
- W4387444315 hasRelatedWork W2067317902 @default.
- W4387444315 hasRelatedWork W2327954668 @default.
- W4387444315 hasRelatedWork W2387055199 @default.
- W4387444315 hasRelatedWork W3102673927 @default.
- W4387444315 hasRelatedWork W3175896399 @default.
- W4387444315 hasRelatedWork W4220703605 @default.
- W4387444315 hasRelatedWork W4295532600 @default.
- W4387444315 isParatext "false" @default.
- W4387444315 isRetracted "false" @default.
- W4387444315 workType "article" @default.