Abstract: Recommender systems (RSs) are fundamental tools that address data redundancy and serve as intelligent supplements for tasks such as data retrieval and refinement by analyzing user behavior.
Over the past decade, Fresno Unified’s dual-language immersion program has quadrupled in popularity, growing from 900 pupils to 4,665 students at 20 schools. Dual-language immersion classrooms, in ...
Abstract: Natural language tracking aims to localize the target object referred to by a language description using a sequence of bounding boxes in video frames. Compared with traditional visual single ...
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