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Have a say over what you see - ACM Digital Library
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由 S Tucker 著作2009被引用 16 次 — This paper develops and evaluates Interactive Compression (IC) techniques that allow users to dynamically configure the amount of information they view in a ...
(PDF) Have a say over what you see: Evaluating Interactive ...
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This paper develops and evaluates Interactive Compression (IC) techniques that allow users to dynamically configure the amount of infor- mation they view in a ...
Evaluating Interactive Compression Techniques
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Have a say over what you see: evaluating interactive compression techniques. In Proceedings of IUI, 2009. 28. S. Whittaker et al. SCANMail: A voicemail ...
evaluating interactive compression techniques
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This paper develops and evaluates Interactive Compression techniques that allow users to dynamically configure the amount of information they view in a ...
Simon Tucker - Google Académico
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Have a say over what you see: evaluating interactive compression techniques. S Tucker, S Whittaker. Proceedings of the 14th international conference on ...
Time is of the essence: an evaluation of temporal compression ...
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A new method for evaluating how well temporal compression supports users in ... Have a say over what you see: evaluating interactive compression techniques.
Compression (Cambridge (CIE) IGCSE ICT)
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2024年5月8日 — Compression is reducing the size of a file so that it can be transmitted or stored in secondary storage · There are scenarios where compression ...
Data Compression: Everything You Need to ...
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Data compression is a technique that reduces the size of data files, making them take up less storage space or be transmitted more efficiently over networks.
Proceedings of the 14th international conference on Intelligent user ...
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Have a say over what you see: evaluating interactive compression techniques ... we do not have time to process in their entirety. Nevertheless, we lack ...
Compression Techniques for Real-Time Control and Non ...
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由 K Prokop 著作2023被引用 2 次 — The most common techniques that are used to compress data without any losses are based on statistical encoding in order to reduce the entropy in the signal [14] ...