Results 31 to 40 of about 4,797,118 (337)
Geodesic Learning With Uniform Interpolation on Data Manifold
Recently with the development of deep learning on data representation and generation, how to sampling on a data manifold becomes a crucial problem for research.
Cong Geng+3 more
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On the interpolation constant for Orlicz spaces [PDF]
In this paper we deal with the interpolation from Lebesgue spaces L p L^p and L q L^q , into an Orlicz space L φ L^\varphi , where 1 ≤ p > q ≤ ∞ 1\le p>q\le \infty and
Alexei Yu. Karlovich+2 more
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Soil parameters in terms of entropy coordinates [PDF]
In the ongoing research, an approximate, grading entropy based, advanced interpolation method is applied to establish empirical functions between the grading curves and the model parameters of sands. The space of the grain size distribution curves with N
Imre Emőke+6 more
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Generalized Interpolation Spaces [PDF]
In this paper we introduce the notion of “generalized” interpolation space, and state and prove a “generalized” interpolation theorem. This apparently provides a foundation for an axiomatic treatment of interpolation space theory, for subsequently we show that the “mean” interpolation spaces of Lions-Peetre, the “complex” interpolation spaces of A.
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Enhancing Indoor Air Quality Estimation: A Spatially Aware Interpolation Scheme
The comprehensive and accurate assessment of the indoor air quality (IAQ) in large spaces, such as offices or multipurpose facilities, is essential for IAQ management.
Seungwoog Jung, Seungwan Han, Hoon Choi
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then X is an interpolation space between the spaces Lp and Lq . This means that any bounded linear operator T in Lp and Lq is also bounded in the space X . This theorem was proved by Boyd [1] in 1967 under the additional assumption that X possesses the Fatou property (see also [2] and [3, Theorem 5.16]).
Astashin, S. V., Maligranda, Lech
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Interpolating Strange Attractors via Fractional Brownian Bridges
We present a novel method for interpolating univariate time series data. The proposed method combines multi-point fractional Brownian bridges, a genetic algorithm, and Takens’ theorem for reconstructing a phase space from univariate time series data. The
Sebastian Raubitzek+3 more
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Application of a four-dimensional space fractal interpolation algorithm in grade estimation
Kriging interpolation is a widely used low-pass filter interpolation method, but it cannot reconstruct the high-frequency, low-frequency and partial information of original information.
HU Nai-lian+3 more
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Interpolating Industrial Robot Orientation with Hermite Spline Curve Based on Logarithmic Quaternion
Smooth orientation planning has an important influence on the working quality and service life as for industrial robot. Based on the logarithmic quaternion, a compact method to map a spline curve from Cartesian space to quaternion space is proposed, and ...
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Intraoperative Data-Based Haptic Feedback for Arthroscopic Partial Meniscectomy Punch Simulation
The use of intraoperative tool-tissue interaction data for arthroscopic digital twins has the potential to enhance haptic feedback in surgical simulations.
Oystein Bjelland+3 more
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