Results 51 to 60 of about 937,847 (306)
Better text compression from fewer lexical n-grams [PDF]
, 2001 Word-based context models for text compression have the capacity to outperform more simple character-based models, but are generally unattractive because of inherent problems with exponential model growth and corresponding data sparseness.
Lorenz, Michelle, Smith, Tony C.
core +2 more sources
Lossy Compression for Lossless Prediction
CoRR, 2021 Most data is automatically collected and only ever "seen" by algorithms. Yet, data compressors preserve perceptual fidelity rather than just the information needed by algorithms performing downstream tasks. In this paper, we characterize the bit-rate required to ensure high performance on all predictive tasks that are invariant under a set of ...
Yann Dubois +3 more
openaire +3 more sources
Main Elements of Logistics [PDF]
, 2014 Virtually lossless self-compression of 10-mJ 3.9-um sub-100 fs pulses in bulk YAG resulting in 9-mJ 33-fs pulses is reported.
Alisauskas, Skirmantas +11 more
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Lossless Compression Schemes for ECG Signals Using Neural Network Predictors
EURASIP Journal on Advances in Signal Processing, 2007 This paper presents lossless compression schemes for ECG signals based on neural network predictors and entropy encoders. Decorrelation is achieved by nonlinear prediction in the first stage and encoding of the residues is done by using lossless entropy ...
C. Eswaran, R. Kannan
doaj +2 more sources
On Predictive-Based Lossless Compression of Images with Higher Bit Depths [PDF]
Telfor Journal, 2012 Due to the rapidly increasing requirements for data transmission and storage, applications for fast and efficient compression of data have a very important role. Lossless compression must be applied when data acquisition is expensive.
A. Avramović, G. Banjac
doaj
Computers, 2019 Since lossless compression can only achieve two to four times data compression, it may not be efficient to deploy lossless compression in bandwidth constrained applications. Instead, it would be more economical to adopt perceptually lossless compression,
Chiman Kwan +5 more
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Lossless Compression Framework Using Lossy Prior for High-Resolution Remote Sensing Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingLossless compression of remote sensing images is critically important for minimizing storage requirements while preserving the complete integrity of the data.
Enjia Gu +3 more
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Virtually Lossless Compression of Astrophysical Images
EURASIP Journal on Advances in Signal Processing, 2005 We describe an image compression strategy potentially capable of preserving the scientific quality of astrophysical data, simultaneously allowing a consistent bandwidth reduction to be achieved.
Alparone Luciano +3 more
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A Review of Classical Lossless Data Compression Algorithmsand Their Contemporary Relevance [PDF]
Biuletyn Wojskowej Akademii TechnicznejCompression is data processing aimed at reducing the amount of information (e.g., for archiving and transfer). There is lossyand lossless compression. Compression algorithms can be either general-purpose or designed for specific types of data (e.g., for ...
Dominik Maciej Matusiak
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The Improvised GZIP, A Technique for Real Time Lossless Data Compression [PDF]
EAI Endorsed Transactions on Context-aware Systems and Applications, 2019 Whenever it comes to data processing, the user always faces two major constraints. One is storage capacity and second is bandwidth. These two resources must be efficiently utilized by compressing the data.
Ahmad Shah, Muhammad Sethi
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