Results 21 to 30 of about 261,692 (263)

On Partition Metric Space, Index Function, and Data Compression [PDF]

open access: yesScientific 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

open access: yesApplied 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
doaj   +1 more source

NRVC: Neural Representation for Video Compression with Implicit Multiscale Fusion Network

open access: yesEntropy, 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

open access: yesCryptography, 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
doaj   +1 more source

Modulation masking release reduction as a function of time-compressed speech

open access: yesRevista 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

Using the Semantic Information G Measure to Explain and Extend Rate-Distortion Functions and Maximum Entropy Distributions

open access: yesEntropy, 2021
In the rate-distortion function and the Maximum Entropy (ME) method, Minimum Mutual Information (MMI) distributions and ME distributions are expressed by Bayes-like formulas, including Negative Exponential Functions (NEFs) and partition functions. Why do
Chenguang Lu
doaj   +1 more source

Progressive or degressive compression pressure profile in patients with chronic venous disorders of the lower limb

open access: yesVeins and Lymphatics, 2014
Graduated compression devices are considered the standard care for management of venous and lymphatic disorders. Recently compression devices exerting a pressure over the calf higher than over the ankle have been proved to be more effective than ...
Giovanni Mosti
doaj   +1 more source

Compression algorithm for multideterminant wave functions [PDF]

open access: yesPhysical Review E, 2014
7 pages, 2 ...
Weerasinghe, Gihan L.   +2 more
openaire   +3 more sources

The Lack of Convexity of the Relevance-Compression Function

open access: yesCoRR, 2022
8 pages, 2 ...
Albert E. Parker   +2 more
openaire   +2 more sources

Merkle-Damgård Construction Method and Alternatives: A Review

open access: yesJournal of Information and Organizational Sciences, 2017
Cryptographic hash function is an important cryptographic tool in the field of information security. Design of most widely used hash functions such as MD5 and SHA-1 is based on the iterations of compression function by Merkle-Damgård construction method ...
Harshvardhan Tiwari
doaj   +1 more source

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