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Full-Text Articles in Computer Engineering
Deep Learning Methods For Efficient Image Coding, Zachary Daniel Bellay
Deep Learning Methods For Efficient Image Coding, Zachary Daniel Bellay
Computer Science and Engineering Master's Theses
Video data makes up 58% of all internet traffic and is growing as self-driving car cameras, 4K televisions, and video surveillance systems continue to come online. Traditional heuristics based image and video codecs such as JPEG and HEVC have been successful thus far, however, these approaches lack the ability to leverage big data to gain massive insights. Six deep learning based approaches are proposed to tackle efficient image/video compression and image compression for machine classification.
Machine Learning Models For Context-Aware Recommender Systems, Yogesh Jhamb
Machine Learning Models For Context-Aware Recommender Systems, Yogesh Jhamb
Engineering Ph.D. Theses
The mass adoption of the internet has resulted in the exponential growth of products and services on the world wide web. An individual consumer, faced with this data deluge, is expected to make reasonable choices saving time and money. Organizations are facing increased competition, and they are looking for innovative ways to increase revenue and customer loyalty. A business wants to target the right product or service to an individual consumer, and this drives personalized recommendation. Recommender systems, designed to provide personalized recommendations, initially focused only on the user-item interaction. However, these systems evolved to provide a context-aware recommendations. Context-aware …