Results 11 to 20 of about 630,255 (299)

Compressive Classification [PDF]

open access: yes2013 IEEE International Symposium on Information Theory, 2013
This paper derives fundamental limits associated with compressive classification of Gaussian mixture source models. In particular, we offer an asymptotic characterization of the behavior of the (upper bound to the) misclassification probability ...
Calderbank, Robert   +3 more
core   +2 more sources

On the Compressibility of Tensors [PDF]

open access: yesSIAM Journal on Matrix Analysis and Applications, 2021
Tensors are often compressed by expressing them in low rank tensor formats. In this paper, we develop three methodologies that bound the compressibility of a tensor: (1) Algebraic structure, (2) Smoothness, and (3) Displacement structure. For each methodology, we derive bounds on storage costs that partially explain the abundance of compressible ...
Tianyi Shi, Alex Townsend
openaire   +3 more sources

Compression-Based Compressed Sensing [PDF]

open access: yesIEEE Transactions on Information Theory, 2017
Modern compression algorithms exploit complex structures that are present in signals to describe them very efficiently. On the other hand, the field of compressed sensing is built upon the observation that "structured" signals can be recovered from their under-determined set of linear projections.
Farideh Ebrahim Rezagah   +3 more
openaire   +2 more sources

From compression to compressed sensing [PDF]

open access: yes2013 IEEE International Symposium on Information Theory, 2013
Can compression algorithms be employed for recovering signals from their underdetermined set of linear measurements? Addressing this question is the first step towards applying compression algorithms for compressed sensing (CS). In this paper, we consider a family of compression algorithms $\mathcal{C}_r$, parametrized by rate $r$, for a compact class ...
Shirin Jalali, Arian Maleki
openaire   +3 more sources

The Structure and Compression of Medical Compression Stockings [PDF]

open access: yesMaterials, 2022
This paper lays out standards of compression stockings and their classification into classes. The analysis of knitted fabric structure parameters, elongation and compression of moderate- and high-compression stockings was conducted. Stocking compression on specific parts of the stocking leg was measured on three sizes of a wooden leg model.
Miloš Lozo   +3 more
openaire   +3 more sources

A new queuing-based mathematical model for hotel capacity planning: a genetic algorithm solution

open access: yesJournal of Applied Research on Industrial Engineering, 2020
This study presents a new mathematical optimization model using queuing theory to determine the hotel capacity in an optimal manner. For this purpose, a Knapsack model based on the queuing theory is proposed.
Saeed Khalili, Masood Mosadegh Khah
doaj   +1 more source

Using Jute Fiber to Improve Fresh and Hardened Properties of Concrete

open access: yesJournal of Natural Fibers, 2023
The brittle nature of concrete sometimes makes it challenging for many critical applications. Research has indicated that including discrete short-length, closely spaced fibers in concrete could improve its ductility and act as a crack arrester.
S. M. Asaduzzaman, G. M. Sadiqul Islam
doaj   +1 more source

Design of Piezoelectric Acceleration Sensor for Automobile Applications

open access: yesInternational Journal of Automotive Science and Technology, 2021
In this study, piezoelectric based compressive type accelerometer has been de-signed by using PZT-5A ceramics with bellewasher type spring. FEA analysis were carried out by using COMSOL.
Mert Gül, Murat Karaer, Aydın Doğan
doaj   +1 more source

Compressive image sensor architecture with on-chip measurement matrix generation [PDF]

open access: yes, 2017
A CMOS image sensor architecture that uses a cellular automaton for the pseudo-random compressive sampling matrix generation is presented. The image sensor employs in-pixel pulse-frequency modulation and column wise pulse counters to produce compressed ...
Carmona Galán, Ricardo   +2 more
core   +1 more source

Clustering by Compression [PDF]

open access: yesIEEE Transactions on Information Theory, 2005
We present a new method for clustering based on compression. The method doesn't use subject-specific features or background knowledge, and works as follows: First, we determine a universal similarity distance, the normalized compression distance or NCD, computed from the lengths of compressed data files (singly and in pairwise concatenation).
Rudi Cilibrasi, Paul M. B. Vitányi
openaire   +4 more sources

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