Ergebnisse für: Attribute Learning
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This exciting volume offers an up-to-date tour of current trends in the neurobiology of memory while saluting Raymond Kesner's pioneering contributions to the field as a theorist and researcher, teacher and mentor. Starting with his signature chapter introducing the Attribute Model of Memory, the fi...
Attribute-based person retrieval searches for persons using textual descriptions of their visual appearance. This thesis presents a deep learning approach for such retrieval in video surveillance and smart city scenarios. It introduces methods for attribute recognition in images and videos, the UPAR...
This thesis approaches the problem of detailed person analysis through attribute recognition. The motivation for the attributes is that they can serve as a flexible and accessible intermediate representation of detailed information on persons. Potential applications that can directly leverage the in...
This textbook provides a unique lens through which the myriad of existing Privacy Enhancing Technologies (PETs) can be easily comprehended and appreciated. It answers key privacy-centered questions with clear and detailed explanations.Why is privacy important? How and why is your privacy being ...
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This textbook provides a unique lens through which the myriad of existing Privacy Enhancing Technologies (PETs) can be easily comprehended and appreciated. It answers key privacy-centered questions with clear and detailed explanations.Why is privacy important? How and why is your privacy being ...
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Neutrosophy (1995) is a new branch of philosophy that studies triads of the form (, , ), where is an entity {i.e. element, concept, idea, theory, logical proposition, etc.}, is the opposite of , while is the neutral (or indeterminate) between them, i.e., neither nor .Based on neutrosophy, the ne...