Results 221 to 230 of about 24,231 (260)
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Compact embedding of binary trees into hypercubes
Information Processing Letters, 1995zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chui-Cheng Chen, Rong-Jaye Chen
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Embedding Locally Compact Semigroups into Groups
Semigroup Forum, 1998A semigroup (or a group) \(S\) endowed with a topology \(\tau\) is a semitopological semigroup (or a semitopological group) if all left and right inner translations of \(S\) are continuous, and \(S\) is a topological semigroup (or a topological group, respectively) if the binary operation is a continuous mapping from \(S^2\) with the product topology ...
Jimmie Lawson, Lawson Jimmie
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An embedding characterization of compact spaces
Lecture Notes in Mathematics, 1979Every topological space is initial with respect to the canonical map e into a product of copies of the two point space {0,1} with {0} as the only nontrivial open set. It seems to us remarkable that certain classes of spaces can be neatly described in terms of their situation in the canonical product.
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Non-compact embeddings of Sobolev spaces
Journal of Approximation Theory, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
David E. Edmunds, Jan Lang
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Subradial Functions and Compact Embeddings
Труды Математического института им. Стеклова, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sickel, Winfried, Skrzypczak, Leszek
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IEEE Circuits and Devices Magazine, 2005
A new data storage system designed for a data acquisition system is presented. The article describes the architecture of a large non-volatile memory data storage system (DSS) mainly developed for compact flash (CF) memory. A DSS handles the available storage space of the medium as a circular buffer rather than as an emulated disk in order to provide an
G. Koulouras +4 more
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A new data storage system designed for a data acquisition system is presented. The article describes the architecture of a large non-volatile memory data storage system (DSS) mainly developed for compact flash (CF) memory. A DSS handles the available storage space of the medium as a circular buffer rather than as an emulated disk in order to provide an
G. Koulouras +4 more
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Embedding and compact embedding of weighted Bergman spaces
Illinois Journal of Mathematics, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Mathematische Nachrichten, 2012
AbstractWe study almost‐compact embeddings between Banach function spaces. We prove a necessary and sufficient condition in terms of almost‐everywhere convergence. We also study the dependence of an almost‐compact embedding on the measure space. We introduce a certain product operator and show its intimate relation to an almost‐compact embedding.
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AbstractWe study almost‐compact embeddings between Banach function spaces. We prove a necessary and sufficient condition in terms of almost‐everywhere convergence. We also study the dependence of an almost‐compact embedding on the measure space. We introduce a certain product operator and show its intimate relation to an almost‐compact embedding.
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2020
Deep neural networks (DNN) have recently been widely used in speaker recognition systems, achieving state-of-the-art performance on various benchmarks. The x-vector architecture is especially popular in this research community, due to its excellent performance and manageable computational complexity.
Georges, Munir +2 more
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Deep neural networks (DNN) have recently been widely used in speaker recognition systems, achieving state-of-the-art performance on various benchmarks. The x-vector architecture is especially popular in this research community, due to its excellent performance and manageable computational complexity.
Georges, Munir +2 more
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Compact acoustic model for embedded implementation
Interspeech 2004, 2004An acoustic model for an embedded speech recognition system must exhibit two desirable features; ability to minimize performance degradation in recognition while solving the memory problem under limited system resources. To cope with the challenges, we introduce the state-clustered tied-mixture (SCTM) HMM as an acoustic model optimization. The proposed
Junho Park, Hanseok Ko
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