Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Kadim Tasdemir"'
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783031091728
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85ade72ffdb3affd7839e66603172211
https://doi.org/10.1007/978-3-031-09173-5_85
https://doi.org/10.1007/978-3-031-09173-5_85
Publikováno v:
Computers and Electronics in Agriculture. 130:38-47
Computer vision based systems address the need for fast, reliable and non-destructive methods for food quality assessment which is traditionally done by manual inspection techniques that are costly, time-consuming, and high labor intensive. A recent
Publikováno v:
Scopus-Elsevier
Spectral clustering has been popular thanks to its ability to extract clusters of varying characteristics without using a parametric model in expense of high computational cost required for eigendecomposition of pairwise similarities. In order to uti
Publikováno v:
IEEE Geoscience and Remote Sensing Magazine. 4:76-78
Autor:
Kadim Tasdemir, Esma Pala
Publikováno v:
IGARSS
By providing controlled areas to produce high quality and wide variety of agricultural products, greenhouses are important for rural development. Their monitoring hence is required for yield estimation and residue management as well as environmental
Autor:
Kadim Tasdemir
Publikováno v:
Pattern Recognition. 45:3034-3044
Spectral partitioning, recently popular for unsupervised clustering, is infeasible for large datasets due to its computational complexity and memory requirement. Therefore, approximate spectral clustering of data representatives (selected by various
Publikováno v:
Computers and Electronics in Agriculture. 83:92-101
Remotely sensed imagery is currently used as an efficient tool for agricultural management and monitoring. In addition, the use of remotely sensed imagery in Europe has been extended towards determination of the areas potentially eligible for the far
Autor:
Yaser Moazzen, Kadim Tasdemir
Publikováno v:
ICPR
Spectral clustering is able to extract clusters with various characteristics without a parametric model, however it is infeasible for large datasets due to its high computational cost and memory requirement. Approximate spectral clustering (ASC) addr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6e088dc185d09271332618b7ba0c271
https://aperta.ulakbim.gov.tr/record/54807
https://aperta.ulakbim.gov.tr/record/54807
Publikováno v:
SIU
Turkey is the major producer of dried figs in the world and lives mold- based problems on dried figs production. Among the various types of molds, Aspergillus niger type molds are the most common one on the figs which is called "black mold" in food i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62464f867247dee9d22d7d15faf254b6
http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/94452
http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/94452
Autor:
Kadim Tasdemir, Yaser Moazzen
Publikováno v:
Advances in Self-Organizing Maps and Learning Vector Quantization ISBN: 9783319285177
WSOM
WSOM
The neural gas has been successfully used for prototype based clustering approaches. Its topology based quantization effectively aids in approximate spectral clustering (ASC) to define distinct similarity criteria which are optimally selected for the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65dd39ad5475ebc4a9bcfe317896cf12
https://doi.org/10.1007/978-3-319-28518-4_7
https://doi.org/10.1007/978-3-319-28518-4_7