Výsledky vyhledávání - "Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing"

Minimizing Ghosting in High Dynamic Range Images and Videos with Hybrid Approaches and Event Guidance ; Hibrit Yaklaşımlar ve Olay Rehberliği ile Yüksek Dinamik Aralıklı Görüntü ve Videolarda Hayaletlenmeyi En Aza İndirme

Autoři: Alpay, Kadir Cenk Akyüz, Ahmet Oğuz Department of Computer Engineering

Přispěvatelé: Alpay, Kadir Cenk Akyüz, Ahmet Oğuz Department of Computer Engineering

Témata: HDR deghosting, Event cameras, Deep networks, Arbis Subjects::Engineering and Technology::Computer Sciences::Computer Graphics::Computer Graphics, Arbis Subjects::Engineering and Technology::Computer Sciences::Computer Vision::Computer Vision, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/116083

Dostupnost: https://hdl.handle.net/11511/116083

Augmenting Clip-based few shot recognition using shapes and concepts ; Şekiller ve kavramlar kullanarak Clip tabanlı az örnekli tanımayı geliştirme

Autoři: Güder, Erce Akbaş, Emre Department of Computer Engineering

Přispěvatelé: Güder, Erce Akbaş, Emre Department of Computer Engineering

Témata: object recognition, image classification, few-shot learning, CLIP adaptation, deep learning, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing, Computer Learning and Pattern Recognition::Other

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/115645

Dostupnost: https://hdl.handle.net/11511/115645

MULTIMODAL DATA FUSION AND MULTICOMPARTMENT IMAGE ANALYSIS IN ACUTE AND CHRONIC LUNG DISEASES ; AKUT VE KRONİK AKCİĞER HASTALIKLARINDA ÇOK MODLU VERİ FÜZYONU VE ÇOK KOMPARTIMANLI GÖRÜNTÜ ANALİZİ

Autoři: Er, Ahmet Görkem Aydın Son, Yeşim Department of Medical Informatics

Přispěvatelé: Er, Ahmet Görkem Aydın Son, Yeşim Department of Medical Informatics

Témata: multimodal data fusion, multicompartment image analysis, COVID-19, interstitial lung disease, Word2Vec, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing, Arbis Subjects::Engineering and Technology::Biomedical Engineering::Biomedical Image Processing::Biomedical Image Processing, Arbis Subjects::Health Sciences::Medicine::Internal Medicine Sciences::Infectious Diseases and Clinical Microbiology, Arbis Subjects::Health Sciences::Medicine::Internal Medicine Sciences::Chest Diseases and Allergy

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/115160

Dostupnost: https://hdl.handle.net/11511/115160

Radar target detection under correlated non-Gaussian clutter using transfer learning ; Gauss olmayan ilintili kargaşa altında transfer öğrenmeyi kullanarak radar hedef tespiti

Autoři: Ürgüp, Mehmet Zeki Yılmaz, Ali Özgür Department of Electrical and Electronics Engineering

Přispěvatelé: Ürgüp, Mehmet Zeki Yılmaz, Ali Özgür Department of Electrical and Electronics Engineering

Témata: Target detection, Deep learning, Transfer learning, Non-Gaussian, Correlated clutter, Arbis Subjects::Engineering and Technology::Electrical and Electronics Engineering, Arbis Subjects::Engineering and Technology::Information Systems, Communication and Control Engineering::Signal Processing, Communication and Control Engineering::Communication Engineering::Radar Theory, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/113378

Dostupnost: https://hdl.handle.net/11511/113378

Efficient three-dimensional near-field imaging with physics-informed deep learning for MIMO radar ; Fizik tabanlı derin öğrenme teknikleri ile üç boyutlu yakın alan MIMO radar görüntüleme

Autoři: Oral, Okyanus Öktem, Sevinç Figen Department of Electrical and Electronics Engineering

Přispěvatelé: Oral, Okyanus Öktem, Sevinç Figen Department of Electrical and Electronics Engineering

Témata: 3D near-field MIMO radar imaging, Complex-valued reconstruction, Plug-and-play methods, Deep learning, Joint optimization, Arbis Subjects::Engineering and Technology::Electrical and Electronics Engineering::Other, Arbis Subjects::Engineering and Technology::Information Systems, Communication and Control Engineering::Signal Processing::Image and Video Processing, Communication and Control Engineering::Signal Processing::Pattern Recognition and Analysis, Communication and Control Engineering::Signal Processing::Signal Processing for Sensor Sequences, Communication and Control Engineering::Signal Processing::Signal Processing Theory and Methods, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing

Popis souboru: 90 pages; application/pdf

Relation: https://hdl.handle.net/11511/110033

Dostupnost: https://hdl.handle.net/11511/110033

A novel content-based retrieval system for hyperspectral remote sensing imagery ; Hiperspektral uzaktan algılama görüntüleri için yenilikçi bir içerik tabanlı erişim sistemi

Autoři: Ömrüuzun, Fatih Yardımcı Çetin, Yasemin Leloğlu, Uğur Murat a další

Přispěvatelé: Ömrüuzun, Fatih Yardımcı Çetin, Yasemin Leloğlu, Uğur Murat a další

Témata: Remote sensing, Content-based semantic retrieval, Hyperspectral imaging, Feature extraction, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing, Arbis Subjects::Engineering and Technology::Computer Sciences::Computer Vision::Computer Vision, Arbis Subjects::Engineering and Technology::Computer Sciences::Computer Vision::Other, Arbis Subjects::Engineering and Technology::Computer Sciences::Database and Data Structures::Information Storage and Retrieval, Arbis Subjects::Engineering and Technology::Information Systems, Communication and Control Engineering::Signal Processing::Image and Video Processing

Popis souboru: 127 pages; application/pdf

Relation: https://hdl.handle.net/11511/109799

Dostupnost: https://hdl.handle.net/11511/109799

Intention mining: surfacing and reshaping deep intentions by proactive human computer interaction ; Niyet madenciliği: proaktif insan bilgisayar etkileşimiyle derin niyetlerin ortaya çıkarılması ve yeniden şekillendirilmesi

Autoři: Şencan, Cevdet Erkmen, Aydan Müşerref Ertuğrul, Aygün a další

Přispěvatelé: Şencan, Cevdet Erkmen, Aydan Müşerref Ertuğrul, Aygün a další

Témata: Intention risk and stimulus factor impact (IRSI), Human intention reshaping, Human-computer interaction, Intention recognition, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Human Computer Interaction, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing, Arbis Subjects::Engineering and Technology::Computer Sciences::Algorithms, Arbis Subjects::Social Sciences and Humanities::Psychology

Popis souboru: 132 pages; application/pdf

Relation: https://hdl.handle.net/11511/112941

Dostupnost: https://hdl.handle.net/11511/112941

EFFICIENT PRETRAINING OF VISION TRANSFORMERS: A LAYER-FREEZING APPROACH WITH LOCAL MASKED IMAGE MODELING ; GÖRSEL DÖNÜŞTÜRÜCÜLERİN VERİMLİ ÖN EĞİTİMİ: YEREL MASKELİ GÖRÜNTÜ MODELLEME İLE KATMAN DONDURMA YAKLAŞIMI

Autoři: Topçuoğlu, Utku Mert Akagündüz, Erdem Department of Modeling and Simulation

Přispěvatelé: Topçuoğlu, Utku Mert Akagündüz, Erdem Department of Modeling and Simulation

Témata: Vision Transformers, Self-Supervised Learning, Local Masked Image Modeling, Progres- sive Layer Freezing, Computational Efficiency, Multi-Scale Reconstruction, Adaptive Learning Rate Scheduling, FreezeOut Learning Rate Scheduling, Training Time Reduction, Arbis Subjects::Engineering and Technology, Arbis Subjects::Engineering and Technology::Computer Sciences, Arbis Subjects::Engineering and Technology::Information Systems, Communication and Control Engineering, Communication and Control Engineering::Robotics and Mechatronics Systems::Computer Vision, Arbis Subjects::Engineering and Technology::Computer Sciences::Computer Vision::Computer Vision, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/111029

Dostupnost: https://hdl.handle.net/11511/111029

A crowd-aware and self-supervised approach for object detection in wide area motion imagery ; Geniş alan hareketli görüntülerde nesne tespiti için kendi kendini denetleyen ve kalabalığın farkında yöntem

Autoři: Hatipoğlu, Poyraz Umut İyigün, Cem Kalkan, Sinan a další

Přispěvatelé: Hatipoğlu, Poyraz Umut İyigün, Cem Kalkan, Sinan a další

Témata: Moving object detection, Wide-area motion imagery, Convolutional neural networks, Deep learning, Self-supervised learning, Nonlinear Optimization, Arbis Subjects::Engineering and Technology, Arbis Subjects::Engineering and Technology::Computer Sciences, Arbis Subjects::Engineering and Technology::Industrial Engineering, Arbis Subjects::Engineering and Technology::Computer Sciences::Computer Vision, Arbis Subjects::Engineering and Technology::Computer Sciences::Computer Vision::Computer Vision, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing, Arbis Subjects::Engineering and Technology::Industrial Engineering::Optimization Theory and Methods, Arbis Subjects::Engineering and Technology::Industrial Engineering::Optimization Theory and Methods::Nonlinear Programming

Popis souboru: 140 pages; application/pdf

Relation: https://hdl.handle.net/11511/104519

Dostupnost: https://hdl.handle.net/11511/104519

Collective anomaly detection in time series using pitch frequency and dissimilarity features ; Pitch frekansı ve benzeşmezlik öznitelikleri kullanılarak zaman serilerinde kollektif anomali tespiti

Autoři: Erkuş, Ekin Can Purutçuoğlu Gazi, Vilda Eken, Aykut a další

Přispěvatelé: Erkuş, Ekin Can Purutçuoğlu Gazi, Vilda Eken, Aykut a další

Témata: anomaly detection, time series, pitch frequency, dissimilarity, sliding windows, Arbis Subjects::Engineering and Technology, Arbis Subjects::Engineering and Technology::Biomedical Engineering, Arbis Subjects::Engineering and Technology::Biomedical Engineering::Biomedical Image Processing, Arbis Subjects::Engineering and Technology::Biomedical Engineering::Biomedical Image Processing::Other, Arbis Subjects::Engineering and Technology::Biomedical Engineering::Biosignal Processing, Arbis Subjects::Engineering and Technology::Biomedical Engineering::Biosignal Processing::Biosignal Processing, Arbis Subjects::Engineering and Technology::Biomedical Engineering::Other, Arbis Subjects::Engineering and Technology::Biomedical Engineering::Clinical Engineering::Clinical Engineering, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition, Arbis Subjects::Engineering and Technology::Computer Sciences::Algorithms::Computational Model, Computer Learning and Pattern Recognition::Computer Learning, Computer Learning and Pattern Recognition::Knowledge Engineering, Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing, Arbis Subjects::Engineering and Technology::Computer Sciences::Bioinformatics::Biocomputing, Arbis Subjects::Natural Sciences::Statistics::Statistical Analysis and Applications

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/104738

Dostupnost: https://hdl.handle.net/11511/104738

Computer-Aided Estimation of Endoscopic Activity in Ulcerative Colitis ; Ülserati̇f Koli̇t Endoskopi̇k Akti̇vi̇tesi̇ni̇n Bi̇lgi̇sayar Yardımı ile Tahmi̇n Edi̇lmesi̇

Autoři: Polat, Görkem Temizel, Alptekin Department of Medical Informatics

Přispěvatelé: Polat, Görkem Temizel, Alptekin Department of Medical Informatics

Témata: Computer-assisted diagnosis, Convolutional neural networks, Ulcerative colitis, Ordinal classification, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing, Arbis Subjects::Engineering and Technology::Computer Sciences::Computer Vision::Computer Vision

Popis souboru: 74 pages; application/pdf

Relation: https://hdl.handle.net/11511/104732

Dostupnost: https://hdl.handle.net/11511/104732

Integrating hyperspectral imaging and microscopy for hepatocellular carcinoma detection from H&E stained histopathology images ; H&E boyali histopatoloji görüntülerinden hepatosellüler karsinom tespiti için hiperspektral görüntüleme ve mikroskop entegrasyonu

Autoři: Çinar, Umut Yardımcı Çetin, Yasemin Department of Information Systems

Přispěvatelé: Çinar, Umut Yardımcı Çetin, Yasemin Department of Information Systems

Témata: Hyperspectral imaging, Hyperspectral microscopy, Human carcinoma detection, Convolutional neural networks, 3D convolutions, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition, Arbis Subjects::Engineering and Technology::Computer Sciences::Bioinformatics, Arbis Subjects::Engineering and Technology::Computer Sciences::Computer Vision, Arbis Subjects::Engineering and Technology::Computer Sciences::Bioinformatics::Biocomputing, Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/104493

Dostupnost: https://hdl.handle.net/11511/104493

Design and visual servo control of a non-holonomic mobile manipulator for visual inspection ; Görsel denetleme için holonomik olmayan mobil manipülatörün tasarımı ve görsel servo kontrolü

Autoři: Şen, Mert Koku, Ahmet Buğra Şahin, Erol a další

Přispěvatelé: Şen, Mert Koku, Ahmet Buğra Şahin, Erol a další

Témata: Visual servoing of non-holonomic mobile manipulator, Image based visual servoing (IBVS), Position based visual servoing (PBVS), Feature tracking, Feature extraction, Arbis Subjects::Engineering and Technology::Mechanical Engineering::Machine Theory and Dynamics::Robotics, Arbis Subjects::Engineering and Technology::Computer Sciences::Computer Vision::Computer Vision, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/103720

Dostupnost: https://hdl.handle.net/11511/103720

A deep neural network based product metadata validation approach for online marketplaces ; Çevrimiçi pazaryerleri için derin sinir ağlarına dayalı ürün üstbilgisi geçerleme yaklaşımı

Autoři: Alataş, Şükrü Koçyiğit, Altan Department of Information Systems

Přispěvatelé: Alataş, Şükrü Koçyiğit, Altan Department of Information Systems

Témata: Metadata validation, Deep neural networks, CNN, Online marketplaces, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Automated Problem Solving, Theorem Proving and Logical Reasoning, Computer Learning and Pattern Recognition::Computer Learning, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing, Arbis Subjects::Engineering and Technology::Computer Sciences::Computer Vision::Computer Vision

Popis souboru: 72 pages; application/pdf

Relation: https://hdl.handle.net/11511/103101

Dostupnost: https://hdl.handle.net/11511/103101

Multi-modal Egocentric Activity Recognition Through Decision Fusion ; Karar Tümleştirme Yoluyla Çok-Kipli Birinci Şahıs Hareket Tanıma

Autoři: Arabacı, Mehmet Ali Temizel, Alptekin Sürer, Elif a další

Přispěvatelé: Arabacı, Mehmet Ali Temizel, Alptekin Sürer, Elif a další

Témata: first-person vision, egocentric activity recognition, multi-modality, decision fusion, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/101950

Dostupnost: https://hdl.handle.net/11511/101950

Analysis of dataset, object tag, and object attribute components in novel object captioning ; Özgün nesne altyazilamada veri kümesi, nesne etiketi ve nesne sifati bileşenlerinin analizi

Autoři: Şahin, Enes Muvahhid Akar, Gözde Department of Electrical and Electronics Engineering

Přispěvatelé: Şahin, Enes Muvahhid Akar, Gözde Department of Electrical and Electronics Engineering

Témata: Image captioning, Novel object captioning, Vision and language pretraining, Object tags, Object attributes, Arbis Subjects::Engineering and Technology::Computer Sciences::Computer Vision::Computer Vision, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Natural Language Processing, Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing, Computer Learning and Pattern Recognition::Neural Networks, Arbis Subjects::Engineering and Technology::Electrical and Electronics Engineering::Other

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/98157

Dostupnost: https://hdl.handle.net/11511/98157

Deep learning-based reconstruction methods for near-field MIMO radar imaging ; Yakın alan mikrodalga görüntülemede derin öğrenmeye dayalı imge geriçatım teknikleri

Autoři: Manisalı, İrfan Öktem, Sevinç Figen Department of Electrical and Electronics Engineering

Přispěvatelé: Manisalı, İrfan Öktem, Sevinç Figen Department of Electrical and Electronics Engineering

Témata: Computational imaging, Image restoration, Image reconstruction, Inverse problems, Deep learning, Convolutional neural networks, Multiple-input multiple-output radar imaging, Near-field microwave imaging, Arbis Subjects::Engineering and Technology::Electrical and Electronics Engineering::Other, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/98756

Dostupnost: https://hdl.handle.net/11511/98756

Novel Optimization Models to Generalize Deep Metric Learning ; Derin Metrik Öğrenmeyi Genelleyen Yenilikçi Optimizasyon Modelleri

Autoři: Gürbüz, Yeti Ziya Alatan, Abdullah Aydın Department of Electrical and Electronics Engineering

Přispěvatelé: Gürbüz, Yeti Ziya Alatan, Abdullah Aydın Department of Electrical and Electronics Engineering

Témata: metric learning, alternating projections, feature selection, zero-shot loss, Arbis Subjects::Engineering and Technology, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/98619

Dostupnost: https://hdl.handle.net/11511/98619

Self-training for unsupervised domain adaptation ; Denetimsiz alan uyarlama için kendi-kendine öğrenme

Autoři: Akkaya, İbrahim Batuhan Halıcı, Uğur Department of Electrical and Electronics Engineering

Přispěvatelé: Akkaya, İbrahim Batuhan Halıcı, Uğur Department of Electrical and Electronics Engineering

Témata: Domain adaptation, Metric learning, Self-training, Adversarial training, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing, Computer Learning and Pattern Recognition::Computer Learning, Arbis Subjects::Engineering and Technology::Computer Sciences::Computer Vision::Computer Vision

Popis souboru: 134 pages; application/pdf

Relation: https://hdl.handle.net/11511/99420

Dostupnost: https://hdl.handle.net/11511/99420

Improved Image Generation in Normalizing Flows through a Multi-Scale Architecture and Variational Training ; Normalleştirici Akım Modellerinde Çok-Ölçekli Mimari ve Değişimsel Eğitim ile Geliştirilmiş Resim Üretimi

Autoři: Sayın, Deniz Cinbiş, Ramazan Gökberk Department of Computer Engineering

Přispěvatelé: Sayın, Deniz Cinbiş, Ramazan Gökberk Department of Computer Engineering

Témata: generative models, natural image generation, normalizing flows, variational inference, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing, Arbis Subjects::Engineering and Technology::Computer Sciences::Computer Vision::Computer Vision, Computer Learning and Pattern Recognition::Neural Networks

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/99466

Dostupnost: https://hdl.handle.net/11511/99466