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Özel Aralık Girişi
Use of high dimensional model representation in dimensionality reduction application to hyperspectral image classification
SPIE, 15 Nisan 2016
TAŞKIN KAYA GÜLŞEN
Gülşen Taşkın Kaya Tam metin bildiri
Optimization of Graph Affinity Matrix with Heuristic Methods in Dimensionality Reduction of Hypespectral Images
2019 27th Signal Processing and Communications Applications Conference (SIU), Sivas, Turkey/TÜRKİYE, 24 Nisan 2019
CEYLAN OĞUZHAN,TAŞKIN KAYA GÜLŞEN
Gülşen Taşkın Kaya Tam metin bildiri
Credit Card Fraud Detection with NCA Dimensionality Reduction
SIN 2020: 13th International Conference on Security of Information and Networks, İstanbul/TÜRKİYE, Vol. 18, 4 Kasım 2020, s. 1-7
YÜKSEL BEYAZIT BESTAMİ,BAHTİYAR ŞERİF,YILMAZER AYŞE
Şerif Bahtiyar Tam metin bildiri
Dimensionality Reduction and Classification of Hyperspectral Images Using Object-Based Image Analysis
Journal of the Indian Society of Remote Sensing, Vol. 46, No. 8, Ocak 2018, s. 1297-1306, ISSN: 0974-3006
KAVZOĞLU TAŞKIN,TONBUL HASAN,YILDIZ ERDEMİR MERVE,ÇÖLKESEN İSMAİL
Hasan Tonbul Özgün Makale HyperspectralObject-based image analysisSegmentationPrincipal component analysisClassificationFEATURE-SELECTIONRANDOM FORESTSEGMENTATIONACCURACYSCALELANDSCAPESALGORITHMSMACHINE
Dimensionality Reduction for Hyperspectral Images to Improve Object-Based Image Classification Using Feature Selection and Principal Components Analysis
Asian Conference on Remote Sensing (ACRS-2018), Kuala Lumpur/MALEZYA, 15 Ekim 2018
KAVZOĞLU TAŞKIN,TONBUL HASAN,ÇÖLKESEN İSMAİL
Hasan Tonbul Tam metin bildiri
Boundary SAM: Improved Parcel Boundary Delineation Using SAM's Image Embeddings and Detail Enhancement Filters
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, Vol. 22, Ocak 2025, s. 5, ISSN: 1545-598X
AWAD BAHAA,ERER IŞIN
Işın Erer Özgün Makale Image segmentation Principal component analysis Filters Remote sensing Pipelines Measurement Image enhancement Feature extraction Dimensionality reduction Accuracy Bilateral filtering detail enhancement guided filtering parcel boundary delineation principle component analysis segment anything model (SAM)
Graph Embedding via High Dimensional Model Representation for Hyperspectral Images
IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, Ocak 2022, ISSN: 0196-2892
TAŞKIN KAYA GÜLŞEN, CAMPS-VALLS GUSTAU
Gülşen Taşkın Kaya Özgün Makale Hyperspectral imaging Manifold learning Germanium Manifolds Kernel Laplace equations Eigenvalues and eigenfunctions Dimensionality reduction (DR) feature extraction hyperspectral image (HSI) classification manifold learning manifold out-of-sample (OOS) problem
Credit Card Fraud Detection with NCA Dimensionality Reduction
SIN 2020: 13th International Conference on Security of Information and Networks, İstanbul/TÜRKİYE, Vol. 18, 4 Kasım 2020, s. 1-7
YÜKSEL BEYAZIT BESTAMİ,BAHTİYAR ŞERİF,YILMAZER AYŞE
Ayşe Yılmazer Metin Tam metin bildiri
Autoencoder Based Dimensionality Reduction of Feature Vectors for Object Recognition
The 15th International Conference on Signal Image Technology Internet Based Systems, 26 Kasım 2019
KESER REYHAN KEVSER,TÖREYİN BEHÇET UĞUR
Reyhan Kevser Keser Tam metin bildiri
Autoencoder Based Dimensionality Reduction of Feature Vectors for Object Recognition
The 15th International Conference on Signal Image Technology Internet Based Systems, 26 Kasım 2019
KESER REYHAN KEVSER,TÖREYİN BEHÇET UĞUR
Behçet Uğur Töreyin Tam metin bildiri

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