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87 696 (0,171s) •

Result

Methods of Completing Missing Samples in Audio Signal

This paper describes the topic of completing missing or distorted samples for this purpose are described. However, sparse representations of signals as a new innovative methods. The topic of sparse solutions of underdetermi...

JA - Elektronika a optoelektronika, elektrotechnika

  • 2013
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  • O
Result

Structured Sparsity for Audio Inpainting

Completing missing or distorted samples is a typical task of audio restoration are compromised today by novel methods based on sparse representations of signals. Preliminary results of sparse solutions are promising. In thi...

JA - Elektronika a optoelektronika, elektrotechnika

  • 2014
    • •
  • D
Result

Method for cycle detection in sparse, irregularly sampled, long-term neuro-behavioral timeseries: Basis pursuit denoising with polynomial detrending of long-term, inter-ictal epileptiform activity

, wakefulness, and seizure clusters. Given sparse and irregular samples of IED rates from in sparse, irregularly sampled data. Cycle identification in sparse data or irregular prospective sparse <...

Biochemistry and molecular biology

  • 2024
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  • Jimp
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  • Link
Result

Learning General Sparse Additive Models from Point Queries in High Dimensions

We consider the problem of learning a d-variate function f defined on the cube, where the algorithm is assumed to have black box access to samples of f within this domain. We then focus on the setting where f has an additive structure; i.e.,...

Pure mathematics

  • 2019
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  • Jimp
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  • Link
Result

Sparse sampling and tensor network representation of two-particle Green's functions

Many-body calculations at the two-particle level require a compact representation of two-particle Green's functions. In this paper, we introduce a sparse sampling scheme in the Matsubara frequency domain as well as a tensor network ...

Condensed matter physics (including formerly solid state physics, supercond.)

  • 2020
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  • Jimp
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  • Link
Result

Restoring Illumination and View Dependent Data from Sparse Samples

material.Therefore, we propose a method of such a data reconstruction from very sparse of view- and illumination- dependent samples and showed a promising performance......

BD - Teorie informace

  • 2012
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  • D
Result

The possibility of using the specific RIA method for the area-under-time-concentration curve sparse sampling calculation of cyclosporin A despite a large post-dose overestimation

Objective: To find limited sampling strategies (LSS) for prediction of the real AUC using the RIA analytical method. Method: Blood samples of 40 male renal transplant patients taken pre-dose and after 0.5, 1, 1.5, 2, 3, 5, 8, and 12...

FR - Farmakologie a lékárnická chemie

  • 2011
    • •
  • Jx
Result

Sparse principal balances

dimensions. Here, the concept of sparse principal component analysis is proposed for constructing principal directions, the so-called sparse principal balances. They aresparse (contain many zeros), build an orthonormal basis in the...

BA - Obecná matematika

  • 2015
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  • Jx
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  • Link
Result

BRDF Slices: Accurate Adaptive Anisotropic Appearance Acquisition

of the proposed BRDF sparse angular sampling and interpolation approach. The method is based on sampling of BRDF subspaces at fixed elevations by means of several adaptively requires only a sparse sampling

IN - Informatika

  • 2013
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  • D
    • •
  • Link
Result

BRDF Slices: Accurate Adaptive Anisotropic Appearance Acquisition

of the proposed BRDF sparse angular sampling and interpolation approach. The method is based on sampling of BRDF subspaces at fixed elevations by means of several adaptively requires only a sparse sampling

BD - Teorie informace

  • 2013
    • •
  • D
    • •
  • Link
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