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Full-Text Articles in Physical Sciences and Mathematics
Explainable Neural Attention Recommender Systems, Omer Tal
Explainable Neural Attention Recommender Systems, Omer Tal
Theses and Dissertations (Comprehensive)
Recommender systems, predictive models that provide lists of personalized suggestions, have become increasingly popular in many web-based businesses. By presenting potential items that may interest a user, these systems are able to better monetize and improve users’ satisfaction. In recent years, the most successful approaches rely on capturing what best define users and items in the form of latent vectors, a numeric representation that assumes all instances can be described by their respective affiliation towards a set of hidden features. However, recommendation methods based on latent features still face some realworld limitations. The data sparsity problem originates from the unprecedented …
Generative Adversarial Networks For Online Visual Object Tracking Systems, Ghsoun Zin
Generative Adversarial Networks For Online Visual Object Tracking Systems, Ghsoun Zin
Theses and Dissertations (Comprehensive)
Object Tracking is one of the essential tasks in computer vision domain as it has numerous applications in various fields, such as human-computer interaction, video surveillance, augmented reality, and robotics. Object Tracking refers to the process of detecting and locating the target object in a series of frames in a video. The state-of-the-art for tracking-by-detection framework is typically made up of two steps to track the target object. The first step is drawing multiple samples near the target region of the previous frame. The second step is classifying each sample as either the target object or the background. Visual object …