Results 191 to 200 of about 110,925 (215)
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Distributed optimization of codebooks
Signal Processing: Image Communication, 1995Abstract Nowadays, many computer facilities are constituted by a network of general-purpose workstations. The aim of this paper is to show how to combine the available resources of this network in order to deal efficiently with time-consuming image processing algorithms.
Benoît Macq, P. Maes, Patrick Piscaglia
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Fast methods for split codebooks
Signal Processing, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A codebook of articulatory shapes
The Journal of the Acoustical Society of America, 1987The acoustical properties of a vocal tract depend on its shape which, at frequencies below about 4 kHz, is adequately described by the area function (i.e., cross-sectional area as a function of position from glottis to lips). Obtaining even this simplified description of the tract is a difficult problem.
Juergen Schroeter +2 more
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Graphical Models and Image Processing, 1993
Abstract This paper deals with the problem of extracting edge structure from compressed image representations. As image coding techniques become more common in image manipulation systems, it is reasonable to develop methods of analyzing an image using operations on the compressed image representation rather than the reconstructed image.
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Abstract This paper deals with the problem of extracting edge structure from compressed image representations. As image coding techniques become more common in image manipulation systems, it is reasonable to develop methods of analyzing an image using operations on the compressed image representation rather than the reconstructed image.
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Codebook / Data Dictionary TCoA
2017This codebook/data dictionary provides users of the Teacher Conceptions of Assessment Inventory details of the structure of the data files used to analyse the New Zealand data. This codebook needs to be read in conjunction with the following complementary files: 1. The Teacher Conceptions of Assessment Questionnaire or Inventory a. Long with 50 items b.
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2023
This work proposes codebook encodings for graph networks that operate on hyperbolic manifolds. Where graph networks commonly learn node representations in Euclidean space, recent work has provided a generalization to Riemannian manifolds, with a particular focus on the hyperbolic space.
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This work proposes codebook encodings for graph networks that operate on hyperbolic manifolds. Where graph networks commonly learn node representations in Euclidean space, recent work has provided a generalization to Riemannian manifolds, with a particular focus on the hyperbolic space.
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