Results 231 to 240 of about 21,346 (268)
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Physics and Chemistry of the Earth, 1968
Methods for the determination of the density of liquids can be divided into three classes as follows. 1. Methods in which the density is measured in terms of the fundamental physical standards of measurement. 2. Methods in which it is measured relative to the density of a reference liquid or solid.
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Methods for the determination of the density of liquids can be divided into three classes as follows. 1. Methods in which the density is measured in terms of the fundamental physical standards of measurement. 2. Methods in which it is measured relative to the density of a reference liquid or solid.
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Compressible turbulent mixing: Effects of compressibility
Physical Review E, 2016We studied by numerical simulations the effects of compressibility on passive scalar transport in stationary compressible turbulence. The turbulent Mach number varied from zero to unity. The difference in driven forcing was the magnitude ratio of compressive to solenoidal modes.
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Compressing YOLO Network by Compressive Sensing
2017 4th IAPR Asian Conference on Pattern Recognition (ACPR), 2017Object detection is one of the fundamental challenges in pattern recognition community. Recently, convolutional neural networks (CNN) are increasingly exploited in object detection, showing their promising potentials of generatively discovering patterns from quantity of labeled images.
Yirui Wu +3 more
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Lossless compression of already compressed textures
Proceedings of the ACM SIGGRAPH Symposium on High Performance Graphics, 2011Texture compression helps rendering by reducing the footprint in graphics memory, thus allowing for more textures, and by lowering the number of memory accesses between the graphics processor and memory, increasing performance and lowering power consumption.
Jacob Ström, Per Wennersten
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Using compression codes in compressed sensing
2016 IEEE Information Theory Workshop (ITW), 2016Data compression and compressed sensing algorithms exploit the structure present in a signal for its efficient representation and measurement, respectively. While most state-of-the-art data compression codes take advantage of complex patterns present in signals of interest, this is not the case in compressed sensing.
Farideh Ebrahim Rezagah +3 more
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Reweighted Compressive Sampling for image compression
2009 Picture Coding Symposium, 2009Compressive Sampling (CS), is an emerging theory which points us a promising direction of designing novel efficient data compression techniques. However, the conventional CS adopts a non-discriminated sampling scheme which usually gives poor performance on realistic complex signals.
Yi Yang 0041 +4 more
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To compress or not to compress: A compressed debate
Journal of the American College of Radiology, 2004Eliot L, Siegel, Ramin, Khorasani
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TO COMPRESS OR NOT TO COMPRESS—THAT IS THE QUESTION
International Journal of Dermatology, 1979J A, Witkowski, L C, Parish
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Compressed Membership in Automata with Compressed Labels
2011The algorithmic problem of whether a compressed string is accepted by a (nondeterministic) finite state automaton with compressed transition labels is investigated. For string compression, straight-line programs (SLPs), i.e., contextfree grammars that generate exactly one string, are used. Two algorithms for this problem are presented.
Markus Lohrey, Christian Mathissen
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Emerging hemostatic materials for non-compressible hemorrhage control
National Science Review, 2022Baolin Guo, Ruonan Dong, Guo Baolin
exaly