Results 21 to 30 of about 5,883,031 (297)
A compressed sensing perspective of hippocampal function [PDF]
Frontiers in Systems Neuroscience, 2014 Hippocampus is one of the most important information processing units in the brain. Input from the cortex passes through convergent axon pathways to the downstream hippocampal subregions and, after being appropriately processed, is fanned out back to the cortex.
Panagiotis C. Petrantonakis +1 more
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On Partition Metric Space, Index Function, and Data Compression [PDF]
Scientific Annals of Computer Science, 2018 We discuss a metric structure on the set of partitions of a finite set induced by the Gini index and two applications of this metric: the identification of determining sets for index functions using techniques that originate in machine learning, and a ...
D.A. Simovici, R. Sizov
doaj +1 more source
Learning and Compressing: Low-Rank Matrix Factorization for Deep Neural Network Compression
Applied Sciences, 2023 Recently, the deep neural network (DNN) has become one of the most advanced and powerful methods used in classification tasks. However, the cost of DNN models is sometimes considerable due to the huge sets of parameters.
Gaoyuan Cai +4 more
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Image compression with anisotropic diffusion [PDF]
, 2008 Compression is an important field of digital image processing where well-engineered methods with high performance exist. Partial differential equations (PDEs), however, have not much been explored in this context so far. In our paper we introduce a novel
Welk, Martin +19 more
core +1 more source
FPGA implementation of Lempel-Ziv data compression [PDF]
, 2021 When transmitting the data in digital communication, it is well desired that the transmitting data bits should be as minimal as possible, so many techniques are used to compress the data.
Hatem Zakaria +5 more
core +1 more source
Modulation masking release reduction as a function of time-compressed speech
Revista CEFAC, 2020 Purpose: to investigate the magnitude of the modulation masking release in sentence recognition as a function of compression level and modulation rate.
Fernando Augusto Pacífico +5 more
doaj +2 more sources
NRVC: Neural Representation for Video Compression with Implicit Multiscale Fusion Network
Entropy, 2023 Recently, end-to-end deep models for video compression have made steady advancements. However, this resulted in a lengthy and complex pipeline containing numerous redundant parameters.
Shangdong Liu +6 more
doaj +1 more source
Sequential Hashing with Minimum Padding
Cryptography, 2018 This article presents a sequential domain extension scheme with minimum padding for hashing using a compression function. The proposed domain extension scheme is free from the length extension property.
Shoichi Hirose
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Network Functional Compression for Control Applications
2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 2022 The trend of future communication systems is to aim for the steering and control of cyber physical systems. These systems can quickly become congested in environments like those presented in Industry 4.0. In these scenarios, a plethora of sensor data is transmitted wirelessly to multiple in network controllers that compute the control functions of the ...
Sifat Rezwan +2 more
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A joint motion & disparity motion estimation technique for 3D integral video compression using evolutionary strategy [PDF]
, 2007 3D imaging techniques have the potential to establish a future mass-market in the fields of entertainment and communications. Integral imaging, which can capture true 3D color images with only one camera, has been seen as the right technology to offer ...
Adedoyin, S +5 more
core +1 more source