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ORCIDKadim Tasdemir
Person information
- affiliation: Antalya International University, Department of Computer Engineering, Antakya, Turkey
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Journal Articles
- 2016
[j10]Gizem Ortaç
, Ahmet Seckin Bilgi, Kadim Tasdemir, Habil Kalkan:
A hyperspectral imaging based control system for quality assessment of dried figs. Comput. Electron. Agric. 130: 38-47 (2016)- 2015
- [j9]Kadim Tasdemir, Berna Yalçin, Isa Yildirim:
Approximate spectral clustering with utilized similarity information using geodesic based hybrid distance measures. Pattern Recognit. 48(4): 1465-1477 (2015) - [j8]Kadim Tasdemir, Yaser Moazzen, Isa Yildirim:
An Approximate Spectral Clustering Ensemble for High Spatial Resolution Remote-Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(5): 1996-2004 (2015) - 2012
- [j7]Kadim Tasdemir, Csaba Wirnhardt:
Neural network-based clustering for agriculture. EURASIP J. Adv. Signal Process. 2012: 200 (2012) - [j6]Kadim Tasdemir:
Vector quantization based approximate spectral clustering of large datasets. Pattern Recognit. 45(8): 3034-3044 (2012) - [j5]Selim Aksoy, Ismet Zeki Yalniz, Kadim Tasdemir:
Automatic Detection and Segmentation of Orchards Using Very High Resolution Imagery. IEEE Trans. Geosci. Remote. Sens. 50(8): 3117-3131 (2012) - 2011
- [j4]Kadim Tasdemir, Pavel Milenov, Brooke Tapsall:
Topology-Based Hierarchical Clustering of Self-Organizing Maps. IEEE Trans. Neural Networks 22(3): 474-485 (2011) - [j3]Kadim Tasdemir, Erzsébet Merényi:
A Validity Index for Prototype-Based Clustering of Data Sets With Complex Cluster Structures. IEEE Trans. Syst. Man Cybern. Part B 41(4): 1039-1053 (2011) - 2010
- [j2]Kadim Tasdemir:
Graph based representations of density distribution and distances for self-organizing maps. IEEE Trans. Neural Networks 21(3): 520-526 (2010) - 2009
- [j1]Kadim Tasdemir, Erzsébet Merényi:
Exploiting Data Topology in Visualization and Clustering of Self-Organizing Maps. IEEE Trans. Neural Networks 20(4): 549-562 (2009)
Conference and Workshop Papers
- 2016
- [c29]Yaser Moazzen, Kadim Tasdemir:
Sampling based approximate spectral clustering ensemble for partitioning datasets. ICPR 2016: 1630-1635 - [c28]Esma Pala, Kadim Tasdemir:
Fast extraction of plastic greenhouses using Worldview-2 images. IGARSS 2016: 6292-6295 - [c27]Ali Günes, Ahmet Seckin Bilgi, Gizem Ortaç, Habil Kalkan, Kadim Tasdemir:
Active learning method for classifying the mold contaminated figs. SIU 2016: 1169-1172 - [c26]Yaser Moazzen, Kadim Tasdemir:
A Neural Gas Based Approximate Spectral Clustering Ensemble. WSOM 2016: 85-93 - 2015
- [c25]Yaser Moazzen, Berna Yalçin, Kadim Tasdemir:
Sampling based approximate spectral clustering ensemble for unsupervised land cover identification. IGARSS 2015: 2405-2408 - [c24]Esma Pala, Kadim Tasdemir, Dilek Koc-San:
Unsupervised extraction of greenhouses using approximate spectral clustering ensemble. IGARSS 2015: 4668-4671 - [c23]Gizem Ortaç, Ahmet Seckin Bilgi, Yusuf Erkan Gorgulu, Ali Günes, Habil Kalkan, Kadim Tasdemir:
Classification of black mold contaminated figs by hyperspectral imaging. ISSPIT 2015: 227-230 - [c22]Berna Yalçin, Yaser Moazzen, Kadim Tasdemir:
Extraction of hazelnut fields using Approximate Spectral Clustering Ensemble. SIU 2015: 640-643 - [c21]Ahmet Seckin Bilgi, Efkan Durmus, Habil Kalkan, Gizem Ortaç, Kadim Tasdemir:
An automated system for detecting the infected figs by hyperspectral image analysis. SIU 2015: 771-774 - [c20]Efkan Durmus, Ahmet Seckin Bilgi, Gizem Ortaç, Habil Kalkan, Kadim Tasdemir:
Detection of black mold infected figs by using transmittance spectroscopy. WHISPERS 2015: 1-4 - [c19]Gizem Ortaç, Kadim Tasdemir, Ahmet Seckin Bilgi, Efkan Durmus, Habil Kalkan:
Detection of dried figs with black mold by using hyperspectral images. WHISPERS 2015: 1-4 - 2014
- [c18]Kadim Tasdemir:
Dimensionality Reduction Based Similarity Visualization for Neural Gas. ICDM Workshops 2014: 668-675 - [c17]Kadim Tasdemir, Yaser Moazzen, Isa Yildirim:
Geodesic Based Similarities for Approximate Spectral Clustering. ICPR 2014: 1360-1364 - [c16]Kadim Tasdemir, Dilek Koc-San:
Unsupervised extraction of greenhouses using WorldView-2 images. IGARSS 2014: 4914-4917 - [c15]Berna Yalçin, Kadim Tasdemir:
The use of k-means++ for approximate spectral clustering of large datasets. SIU 2014: 220-223 - [c14]Yaser Moazzen, Kadim Tasdemir:
Geodesic based hybrid similarity criteria for approximate spectral clustering of remote sensing images. SIU 2014: 586-589 - 2013
- [c13]Kadim Tasdemir:
A hybrid similarity measure for approximate spectral clustering of remote sensing images. IGARSS 2013: 3136-3139 - [c12]Kadim Tasdemir:
Local density based similarity criterion for clustering of remote-sensing images. SIU 2013: 1-4 - 2012
- [c11]Kadim Tasdemir, Csaba Wirnhardt:
Automatic assessment of land parcel identification systems for agricultural management. IGARSS 2012: 5697-5700 - 2011
- [c10]Kadim Tasdemir, Selcuk Reis:
Land cover identification for finding hazelnut fields using WorldView-2 imagery. IGARSS 2011: 158-161 - [c9]Kadim Tasdemir:
Neural network based approximate spectral clustering for remote sensing images. IGARSS 2011: 2884-2887 - [c8]Kadim Tasdemir:
Spectral Clustering as an Automated SOM Segmentation Tool. WSOM 2011: 71-78 - 2010
- [c7]Kadim Tasdemir, Pavel Milenov:
An automated SOM clustering based on data topology. ESANN 2010 - 2009
- [c6]Erzsébet Merényi, Kadim Tasdemir, Lili Zhang:
Learning Highly Structured Manifolds: Harnessing the Power of SOMs. Similarity-Based Clustering 2009: 138-168 - 2008
- [c5]Kadim Tasdemir, Erzsébet Merényi:
Cluster Analysis in Remote Sensing Spectral Imagery through Graph Representation and Advanced SOM Visualization. Discovery Science 2008: 259-271 - [c4]Kadim Tasdemir:
Exploring Topology Preservation of SOMs with a Graph Based Visualization. IDEAL 2008: 180-187 - 2007
- [c3]Erzsébet Merényi, Lili Zhang, Kadim Tasdemir:
Min(d)ing the small details: discovery of critical knowledge through precision manifold learning, and application to onboard decision support. SoSE 2007: 1-8 - 2006
- [c2]Kadim Tasdemir, Erzsébet Merényi:
Data topology visualization for the Self-Organizing Map. ESANN 2006: 277-282 - 2003
- [c1]Abdulkerim Çapar, Kadim Tasdemir, Özlem Kilic, Muhittin Gökmen:
A Turkish Handprint Character Recognition System. ISCIS 2003: 447-456
Coauthor Index
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