Superpixel-Based Stereoscopic Video Saliency Detection Using Support Vector Regression Learning

Superpixel-Based Stereoscopic Video Saliency Detection Using Support Vector Regression Learning

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International Conference on Image Processing, Computer Vision, and Pattern Recognition (24. : 2020 : Las Vegas, Nev.; Online) Advances in computer vision and computational biology
1. Verfasser: Chou, Ting-Yu (VerfasserIn)
Weitere Verfasser: Leou, Jin-Jang (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2021
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
DRDr: Automatic Masking of Exudates and Microaneurysms Caused by Diabetic Retinopathy Using Mask R-CNN and Transfer Learning 2021 Shenavarmasouleh, Farzan
Clustering Method for Isolate Dynamic Points in Image Sequences 2021 Spinoza, Paula Niels
Exergames for Systemic Sclerosis Rehabilitation: A Pilot Study 2021 Ferraro, Federica
Predicting Length of Stay for COPD Patients with Generalized Linear Models and Random Forests 2021 Romanova, Anna
ActiviX: Noninvasive Solution to Mental Health 2021 Whittemore, Morgan
Classification of Craniosynostosis Images by Vigilant Feature Extraction 2021 Agarwal, Saloni
Superpixel-Based Multi-focus Image Fusion 2021 Lai, Kuan-Ni
Introducing a Conceptual Framework for Architecting Healthcare 4.0 Systems 2021 Novakovic, Aleksandar
A Comparative Study of Machine Learning Models for Tabular Data Through Challenge of Monitoring Parkinson’s Disease Progression Using Voice Recordings 2021 Iman, Mohammadreza
A Cross-Blockchain Approach to Emergency Medical Information 2021 Hasavari, Shirin
MinCNE: Identifying Conserved Noncoding Elements Using Min-Wise Hashing 2021 Behera, Sairam
Using Artificial Intelligence for Medical Condition Prediction and Decision-Making for COVID-19 Patients 2021 Pourhomayoun, Mohammad
ICT and the Environment: Strategies to Tackle Environmental Challenges in Nigeria 2021 Ikwunne, Tochukwu
Personalization of Proposed Services in a Sensor-Based Remote Care Application 2021 Makssoud, Mirvat
A Novel Method for the Inverse QSAR/QSPR to Monocyclic Chemical Compounds Based on Artificial Neural Networks and Integer Programming 2021 Ito, Ren
A New Literature-Based Discovery (LBD) Application Using the PubMed Database 2021 Schofield, Matthew
An Agile Pipeline for RNA-Seq Data Analysis 2021 Wolf, Scott
Re-ranking of Computational Protein-Peptide Docking Solutions with Amino Acid Profiles of Rigid-Body Docking Results 2021 Ohue, Masahito
Cancer Gene Diagnosis of 84 Microarrays Using Rank of 100-Fold Cross-Validation 2021 Shinmura, Shuichi
Mathematical Modeling and Computer Simulations of Cancer Chemotherapy 2021 Nani, Frank
Alle Artikel auflisten