- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Ulm, Universität Ulm, Dissertation, 2021
- Schlagwort
-
Active learning
Supervised learning (Machine learning)
Neural computers
Machine learning
Maschinelles Lernen
Neuronales Netz
Überwachtes Lernen
Unüberwachtes Lernen
- DOI
-
10.18725/OPARU-36720
- URN
-
urn:nbn:de:bsz:289-oparu-36782-4
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:56 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Thiam, Patrick
- Universität Ulm
Entstanden
- 2021
Ähnliche Objekte (12)
A systematic discussion of fusion techniques for multi-modal affect recognition tasks
From Synchronous to Asynchronous Event-driven Fusion Approaches in Multi-modal Affect Recognition
Low-level fusion of audio and video feature for multi-modal emotion recognition
Multi-modal data fusion based on embeddings
MULTI-MODAL REMOTE SENSING DATA FUSION FRAMEWORK
Multi-modal 3D Cochlea Images Registration, Fusion, Segmentation and Analysis
Constructing multi-modal emotion recognition model based on convolutional neural network
Multi-modal pain intensity recognition based on the SenseEmotion database
Deep Learning-based Multi-Modal Fusion Method for Skin Lesion Classification
Image De-occlusion via Event-enhanced Multi-modal Fusion Hybrid Network
Multimodal fusion for audio-image and video action recognition
Unimodal and Multimodal Sensor Fusion for Wearable Activity Recognition
A systematic discussion of fusion techniques for multi-modal affect recognition tasks
From Synchronous to Asynchronous Event-driven Fusion Approaches in Multi-modal Affect Recognition
Low-level fusion of audio and video feature for multi-modal emotion recognition
Multi-modal data fusion based on embeddings
MULTI-MODAL REMOTE SENSING DATA FUSION FRAMEWORK
Multi-modal 3D Cochlea Images Registration, Fusion, Segmentation and Analysis
Constructing multi-modal emotion recognition model based on convolutional neural network
Multi-modal pain intensity recognition based on the SenseEmotion database
Deep Learning-based Multi-Modal Fusion Method for Skin Lesion Classification
Image De-occlusion via Event-enhanced Multi-modal Fusion Hybrid Network
Multimodal fusion for audio-image and video action recognition
Unimodal and Multimodal Sensor Fusion for Wearable Activity Recognition
A systematic discussion of fusion techniques for multi-modal affect recognition tasks
From Synchronous to Asynchronous Event-driven Fusion Approaches in Multi-modal Affect Recognition
Low-level fusion of audio and video feature for multi-modal emotion recognition
Multi-modal data fusion based on embeddings
MULTI-MODAL REMOTE SENSING DATA FUSION FRAMEWORK
Multi-modal 3D Cochlea Images Registration, Fusion, Segmentation and Analysis
Constructing multi-modal emotion recognition model based on convolutional neural network
Multi-modal pain intensity recognition based on the SenseEmotion database
Deep Learning-based Multi-Modal Fusion Method for Skin Lesion Classification
Image De-occlusion via Event-enhanced Multi-modal Fusion Hybrid Network
Multimodal fusion for audio-image and video action recognition