Search results | J. Murrey Atkins Library

Title: Anomaly Detection for Manufacturing Applications Using Convolutional Autoencoders
Author: Zouar, Nourelislam
Date Created: 2021
Description: ABSTRACTNOURELISLAM ZOUAR. ANOMALY DETECTION FOR MANUFACTURING APPLICATIONS USING CONVOLUTIONAL AUTOENCODERS. (Under the direction of DR. MIN SHIN) Anomaly Detection in manufacturing environments is increasingly gaining popularity among companies ...

Title: Anomaly Detection for Manufacturing Applications Using Convolutional Autoencoders
Author: Zouar, Nourelislam
Date Created: 2021
Subjects--Topical: Computer science
Description: ABSTRACTNOURELISLAM ZOUAR. ANOMALY DETECTION FOR MANUFACTURING APPLICATIONS USING CONVOLUTIONAL AUTOENCODERS. (Under the direction of DR. MIN SHIN) Anomaly Detection in manufacturing environments is increasingly gaining popularity among companies ...

Title: Better modeling of matching possibilities and uncertainty for offline visual multiple object tracking
Author: Rice, Lance
Date Created: 2021
Subjects--Topical: Computer science
Description: The task of visually tracking multiple objects remains an active field of algorithm development even after several decades of research in the computer vision community. One reason it remains an active research area is that identifying and maintain...

Title: Fine-grained Video Classification for Rare Events
Author: Shan, Junjie
Date Created: 2018
Description: Video analysis plays an important role in the field of computer vision and finds its application in many areas. Fine-grained event classification is one of the most challenging problems in video analysis due to subtle difference between classes an...

Title: Fine-grained Video Classification for Rare Events
Author: Shan, Junjie
Date Created: 2018
Subjects--Topical: Computer science, Information technology
Description: Video analysis plays an important role in the field of computer vision and finds its application in many areas. Fine-grained event classification is one of the most challenging problems in video analysis due to subtle difference between classes an...

Title: Reducing training effort in biological image classification
Author: Nguyen, Nhat Rich
Date Created: 2017
Description: To automatically classify biological images, machine learning techniques have been widely used to train the classifiers from labeled images. For a new category of biological object, a tedious and expensive labeling process is needed from a human e...

Title: Reducing training effort in biological image classification
Author: Nguyen, Nhat Rich
Date Created: 2017
Subjects--Topical: Computer science
Description: To automatically classify biological images, machine learning techniques have been widely used to train the classifiers from labeled images. For a new category of biological object, a tedious and expensive labeling process is needed from a human e...

Title: Robust Audio Classification: Integrating TV Sound Detection
Author: Bourahla, Mohamed Mehdi
Date Created: 2023
Subjects--Topical: Artificial intelligence, Sound
Description: The emergence of voice-controlled systems has transformed the way users engage with technology, providing unparalleled ease and accessibility. Nonetheless, these systems encounter difficulties in distinguishing intended commands from unintentional...

Title: STRUCTURE-FROM-MOTION AND RGBD DEPTH FUSION
Author: Chandra shekar, Akash
Date Created: 2018
Description: Abstract This article describes a technique to augment a typical RGBD sensor by integrating depth estimates obtained via Structure-from-Motion (SfM) with depth measurements from an RGBD sensor. Limitations in the RGBD depth sensing technology prev...

Title: STRUCTURE-FROM-MOTION AND RGBD DEPTH FUSION
Author: Chandra shekar, Akash
Date Created: 2018
Subjects--Topical: Computer science, Robotics
Description: Abstract This article describes a technique to augment a typical RGBD sensor by integrating depth estimates obtained via Structure-from-Motion (SfM) with depth measurements from an RGBD sensor. Limitations in the RGBD depth sensing technology prev...

Title: Using Occlusion to Track Multiple Objects with Similar Appearance
Author: Fasciano, Thomas
Date Created: 2015
Description: Multiple object tracking is a fundamental problem within computer vision and has a wide range of applications. Although well studied, it remains a difficult task especially in scenarios which contain many occluding and highly similar appearing obj...

Title: Using Occlusion to Track Multiple Objects with Similar Appearance
Author: Fasciano, Thomas
Date Created: 2015
Subjects--Topical: Computer science, Visual perception
Description: Multiple object tracking is a fundamental problem within computer vision and has a wide range of applications. Although well studied, it remains a difficult task especially in scenarios which contain many occluding and highly similar appearing obj...