Results 31 to 40 of about 914,662 (294)
Semantic Compression of Episodic Memories [PDF]
, 2018 Storing knowledge of an agent's environment in the form of a probabilistic generative model has been established as a crucial ingredient in a multitude of cognitive tasks. Perception has been formalised as probabilistic inference over the state of latent
Nagy, David G. +2 more
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IEEE AccessModel Compression is an actively pursued research field in recent years with the goal of deploying state-of-the-art deep neural networks. It is targeted to implementations which are based on power constrained and resource limited devices as the reduced ...
Danhe Tian +2 more
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IEEE Access, 2020 The enormous inference cost of deep neural networks can be mitigated by network compression. Pruning connections is one of the predominant approaches used for network compression.
Sai Aparna Aketi +3 more
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The applicability of the wind compression model
, 2014 Compression of the stellar winds from rapidly rotating hot stars is described by the wind compression model. However, it was also shown that rapid rotation leads to rotational distortion of the stellar surface, resulting in the appearance of non-radial ...
Cariková, Zuzana, Skopal, Augustin
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Calibrated forceps model of spinal cord compression injury. [PDF]
, 2015 Compression injuries of the murine spinal cord are valuable animal models for the study of spinal cord injury (SCI) and spinal regenerative therapy.
Ariza, Jeanelle +3 more
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Compressed Context Modeling for Text Compression
2011 Data Compression Conference, 2011 In text compression, statistical context modeling aims to construct a model to calculate the probability distribution of a character based upon its context. The order -- $k$ context of a symbol is defined as the string formed by its preceding $k$ symbols.
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Modeling turbulent energy behavior and sudden viscous dissipation in compressing plasma turbulence
, 2017 We present a simple model for the turbulent kinetic energy behavior of subsonic plasma turbulence undergoing isotropic three-dimensional compression, such as may exist in various inertial confinement fusion experiments or astrophysical settings.
Davidovits, Seth, Fisch, Nathaniel J.
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Model-Based Compressive Sensing [PDF]
IEEE Transactions on Information Theory, 2010 20 pages, 10 figures. Typo corrected in grant number.
Baraniuk, Richard G. +3 more
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Frontiers in Plant ScienceIntroductionTimely and accurate recognition of tomato diseases is crucial for improving tomato yield. While large deep learning models can achieve high-precision disease recognition, these models often have a large number of parameters, making them ...
Shuiping Ni +7 more
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Orientation-dependent deformation mechanisms of bcc niobium nanoparticles
, 2017 Nanoparticles usually exhibit pronounced anisotropic properties, and a close insight into the atomic-scale deformation mechanisms is of great interest.
Bian, J. J. +3 more
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