Search results
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Title
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Anomaly Detection for Manufacturing Applications Using Convolutional Autoencoders
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Author
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Zouar, Nourelislam
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Date Created
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2021
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Subjects--Topical
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Computer science
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Description
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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 ...
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Title
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Fine-grained Video Classification for Rare Events
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Author
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Shan, Junjie
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Date Created
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2018
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Subjects--Topical
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Computer science, Information technology
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Description
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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...
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Title
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Reducing training effort in biological image classification
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Author
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Nguyen, Nhat Rich
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Date Created
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2017
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Subjects--Topical
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Computer science
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Description
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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...
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Title
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Robust Audio Classification: Integrating TV Sound Detection
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Author
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Bourahla, Mohamed Mehdi
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Date Created
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2023
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Subjects--Topical
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Artificial intelligence, Sound
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Description
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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...
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Title
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STRUCTURE-FROM-MOTION AND RGBD DEPTH FUSION
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Author
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Chandra shekar, Akash
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Date Created
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2018
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Subjects--Topical
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Computer science, Robotics
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Description
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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...