scholarly journals An XML-hierarchical data structure for ENSDF

2016 ◽  
Author(s):  
Aaron M. Hurst
Keyword(s):  
Data Structure ◽  
Hierarchical Data ◽  
Hierarchical Data Structure

scholarly journals Geometry Design Using Function Representation on a Sparse Hierarchical Data Structure

2020 ◽  
pp. 102989
Author(s):  
Sandilya Kambampati ◽  
Carolina Jauregui ◽  
Ken Museth ◽  
H. Alicia Kim
Keyword(s):  
Data Structure ◽  
Hierarchical Data ◽  
Function Representation ◽  
Hierarchical Data Structure ◽  
Geometry Design

A Hierarchical Data Structure for Representing the Spatial Decomposition of 3D Objects

1985 ◽  
pp. 2-12 ◽  
Author(s):  
Ingrid Carlbom ◽  
Indranil Chakravarty ◽  
David Vanderschel
Keyword(s):  
Data Structure ◽  
Hierarchical Data ◽  
Hierarchical Data Structure ◽  
Spatial Decomposition ◽  
3D Objects

scholarly journals Fast Closed-Form Matting Using a Hierarchical Data Structure

2014 ◽  
Vol 24 (1) ◽  
pp. 49-62 ◽  
Author(s):  
Chunxia Xiao ◽  
Meng Liu ◽  
Donglin Xiao ◽  
Zhao Dong ◽  
Kwan-Liu Ma
Keyword(s):  
Data Structure ◽  
Closed Form ◽  
Hierarchical Data ◽  
Hierarchical Data Structure

SYNTACTIC ANALYSIS AND REPRESENTATION OF SPATIAL STRUCTURES BY PUZZLETREES

1995 ◽  
Vol 09 (03) ◽  
pp. 517-533
Author(s):  
ANDREAS DENGEL
Keyword(s):  
Data Structure ◽  
Spatial Structure ◽  
Syntactic Analysis ◽  
Space Representation ◽  
Hierarchical Data ◽  
Spatial Structures ◽  
Hierarchical Data Structure ◽  
Original Space

The objective of this paper is to propose a syntactic formalism for space representation, which besides the well known advantages of hierarchical data structure, has the additional strength of self-adapting to a spatial structure at hand. The formalism is called puzzletree because its generation results in a number of blocks which in a certain order — like a puzzle — reconstruct the original space. The approach may be applied to any higher-dimensioned space (e.g. images, volumes). The paper concentrates on the principles of puzzletrees by explaining the underlying heuristic for their generation with respect to 2D spaces, i.e. images.

A hierarchical data structure for multidimensional digital images

1983 ◽  
Vol 26 (7) ◽  
pp. 504-515 ◽  
Author(s):  
Mann-May Yau ◽  
Sargur N. Srihari
Keyword(s):  
Data Structure ◽  
Digital Images ◽  
Hierarchical Data ◽  
Hierarchical Data Structure

scholarly journals Spectral Parameter Encoding: Towards a Framework for Functional-Aesthetic Sonification

2017 ◽  
Author(s):  
Takahiko Tsuchiya ◽  
Jason Freeman
Keyword(s):  
Data Structure ◽  
Spectral Parameter ◽  
Descriptive Analysis ◽  
Data Integrity ◽  
Auditory Display ◽  
Hierarchical Data ◽  
Musical Sound ◽  
Hierarchical Data Structure

Auditory-display research has had a largely unsolved challenge of balancing functional and aesthetic considerations. While functional designs tend to reduce musical expressivity for the fidelity of data, aesthetic or musical sound organization arguably has a potential for representing multi-dimensional or hierarchical data structure with enhanced perceptibility. Existing musical designs, however, generally employ nonlinear or interpretive mappings that hinder the assessment of functionality. The authors propose a framework for designing expressive and complex sonification using small timescale musical hierarchies, such as the harmony and timbral structures, while maintaining data integrity by ensuring a close-to-the-original recovery of the encoded data utilizing descriptive analysis by a machine listener.

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