Explores environmental computational science and earth observation through accurate deep learning models for monitoring, integrating domain knowledge in species models, and enhancing image search.
Explores concept-based, named entity-based, and perspective connections-based image systems, emphasizing the analysis of graphics and visual relationships between images.
Covers information, memory, glyphs, writing systems, digital images, physical and morphological connections, 3D shapes, and the challenges of computational processing.
Explores style transfer, image translation, self-supervised learning, video prediction, and image description generation using deep learning techniques.
Introduces the basics of information retrieval, covering text-based retrieval, document features, similarity functions, and the difference between Boolean and ranked retrieval.
