Monografie
Towards Reliable Computer Vision Feature Extraction by Novel Autoencoder Methods
- Sprache
-
Englisch
- Identifier
-
1278958479
Thema
Maschinelles Lernen; Objekterkennung; Bildverarbeitung; Merkmalsextraktion
Beteiligte Personen und Organisationen
Dias da Cruz, Steve
Stricker, Didier
Kloft, Marius
Stricker, Didier
Kloft, Marius
- DOI
-
10.26204/KLUEDO/7118
- URN
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
02.05.2023, 09:12 MESZ
Objekttyp
- Monografie
Beteiligte
- Dias da Cruz, Steve
- Stricker, Didier
- Kloft, Marius
Ähnliche Objekte (12)
Towards Comprehensive Cluster-induced Methods for Recommender Systems
On Sinusoidal Structured Light Reconstruction - An Entire Pipeline with Improvements in Accuracy, Stability, Robustness and Speed
Auf dem Weg zu interpretierbaren, KI-basierten, explorativen und entscheidungsunterstützenden Systemen im Kontext biomechanischer Daten
Fast Robust Rigid and Non-Rigid Registration for Globally Consistent 3D Scene and Shape Reconstruction
Assessment of computer vision methods in civil engineering
An Efficient Automated Machine Learning Framework for Genomics and Proteomics Sequence Analysis
Vision-based open set recognition for industrial inspection systems
From Scientific Publications to Community Insights
Building Natural Language Generation and Understanding Systems in Data Constrained Settings
Recognition, Analysis, and Assessments of Human Skills using Wearable Sensors
Enabling high-throughput image analysis with deep learning-based tools
Image retrieval, object recognition, and discriminative models
Towards Comprehensive Cluster-induced Methods for Recommender Systems
On Sinusoidal Structured Light Reconstruction - An Entire Pipeline with Improvements in Accuracy, Stability, Robustness and Speed
Auf dem Weg zu interpretierbaren, KI-basierten, explorativen und entscheidungsunterstützenden Systemen im Kontext biomechanischer Daten
Fast Robust Rigid and Non-Rigid Registration for Globally Consistent 3D Scene and Shape Reconstruction
Assessment of computer vision methods in civil engineering
An Efficient Automated Machine Learning Framework for Genomics and Proteomics Sequence Analysis
Vision-based open set recognition for industrial inspection systems
From Scientific Publications to Community Insights
Building Natural Language Generation and Understanding Systems in Data Constrained Settings
Recognition, Analysis, and Assessments of Human Skills using Wearable Sensors
Enabling high-throughput image analysis with deep learning-based tools
Image retrieval, object recognition, and discriminative models
Towards Comprehensive Cluster-induced Methods for Recommender Systems
On Sinusoidal Structured Light Reconstruction - An Entire Pipeline with Improvements in Accuracy, Stability, Robustness and Speed
Auf dem Weg zu interpretierbaren, KI-basierten, explorativen und entscheidungsunterstützenden Systemen im Kontext biomechanischer Daten
Fast Robust Rigid and Non-Rigid Registration for Globally Consistent 3D Scene and Shape Reconstruction
Assessment of computer vision methods in civil engineering
An Efficient Automated Machine Learning Framework for Genomics and Proteomics Sequence Analysis
Vision-based open set recognition for industrial inspection systems
From Scientific Publications to Community Insights
Building Natural Language Generation and Understanding Systems in Data Constrained Settings
Recognition, Analysis, and Assessments of Human Skills using Wearable Sensors
Enabling high-throughput image analysis with deep learning-based tools