Results 251 to 260 of about 914,662 (294)

Compressible models of equilibrium polymerization

The Journal of Chemical Physics, 2005
Flory-Huggins-type models of equilibrium polymerization are extended to describe compressible systems and, hence, the pressure dependence of thermodynamic properties. The theory is developed for three different mechanisms of equilibrium polymerization (the free association, monomer-activated polymerization, and chemically initiated polymerization ...
Maxim N, Artyomov, Karl F, Freed
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Models for the Compressible Web

2009 50th Annual IEEE Symposium on Foundations of Computer Science, 2009
Graphs resulting from human behavior (the web graph, friendship graphs, etc.) have hitherto been viewed as a monolithic class of graphs with similar characteristics; for instance, their degree distributions are markedly heavy-tailed. In this paper we take our understanding of behavioral graphs a step further by showing that an intriguing empirical ...
CHIERICHETTI, FLAVIO, Ravi Kumar, LATTANZI, SILVIO, PANCONESI, Alessandro, Prabhakar Raghavan   +4 more
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ECG Data Compression by Modeling

Computers and Biomedical Research, 1993
This paper presents a novel algorithm for data compression of single lead Electrocardiogram (ECG) data. The method is based on Parametric modeling of the Discrete Cosine Transformed ECG signal. Improved high frequency reconstruction is achieved by separately modeling the low and the high frequency regions of the transformed signal.
B, Madhukar, I S, Murthy
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Bayesian Automatic Model Compression

IEEE Journal of Selected Topics in Signal Processing, 2020
Model compression has drawn great attention in deep learning community. A core problem in model compression is to determine the layer-wise optimal compression policy, e.g., the layer-wise bit-width in network quantization. Conventional hand-crafted heuristics rely on human experts and are usually sub-optimal, while recent reinforcement learning based ...
Jiaxing Wang, Haoli Bai, Jiaxiang Wu, Jian Cheng   +3 more
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Modeling Delta Encoding of Compressed Files

Data Compression Conference (DCC'06), 2006
The Compressed Delta Encoding paradigm is introduced, i.e., delta encoding directly in two given compressed files without decompressing. Here we explore the case where the two given files are compressed using LZW, and devise the theoretical framework for modeling delta encoding of compressed files.
Klein, Shmuel T., Serebro, Tamar C., Shapira, Dana   +2 more
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Compression Quality Prediction Model for JPEG2000

IEEE Transactions on Image Processing, 2010
A compression quality prediction model is proposed for grey images coding with JPEG2000. With this model, the compression quality (PSNR) could be estimated according to the given compression ratio (CR) and the image activity measures (IAM) without coding images.
Li, Ling, Wang, Zhen-Song
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Oldroyd Model for Compressible Fluids

Journal of Mathematical Sciences, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Speech Recognition Model Compression

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
Deep Neural Network-based speech recognition systems are widely used in most speech processing applications. To achieve better model robustness and accuracy, these networks are constructed with millions of parameters, making them storage and compute-intensive. In this paper, we propose Bin & Quant (B&Q), a compression technique using which we were able
Madhumitha Sakthi, Ahmed Tewfik, Raj Pawate   +2 more
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Model based concordance compression

Data Compression Conference, 1992., 2003
The authors discuss concordance compression using the framework now customary in compression theory. They begin by creating a mathematical model of concordance generation, and then use optimal compression engines, such as Huffman or arithmetic coding, to do the actual compression. It should be noted that in the context of a static information retrieval
A. Bookstein, S.T. Klein, T. Raita
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Compressible Turbulence Modeling

1998
In Chapters 3–7, the solenoidal motion of turbulent flow is studied exclusively, except buoyancy effects of weak density change through the Boussinesq approximation. In aeronautical, aerospace, and astrophysical fields, however, flows with high Mach number are observed frequently.
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