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3DPVT
2002
IEEE
131views Visualization» more  3DPVT 2002»
15 years 2 months ago
Octree approximation and compression methods
Techniques are presented to progressively approximate and compress in a lossless manner two-colored (i.e. binary) 3D objects (as well as objects of arbitrary dimensionality). The ...
Hanan Samet, Andrzej Kochut
DASFAA
2006
IEEE
135views Database» more  DASFAA 2006»
15 years 1 months ago
An Efficient Co-operative Framework for Multi-query Processing over Compressed XML Data
XML is a de-facto standard for exchanging and presenting information on the Web. However, XML data is also recognized as verbose since it heavily inflates the size of the data due ...
Juzhen He, Wilfred Ng, Xiaoling Wang, Aoying Zhou
CORR
2011
Springer
181views Education» more  CORR 2011»
14 years 5 months ago
Compressed String Dictionaries
The problem of storing a set of strings – a string dictionary – in compact form appears naturally in many cases. While classically it has represented a small part of the whole ...
Nieves R. Brisaboa, Rodrigo Cánovas, Miguel...
DCC
2003
IEEE
15 years 9 months ago
Estimation-Quantization Geometry Coding Using Normal Meshes
We propose a new algorithm for compressing three-dimensional triangular mesh data used for representing surfaces. We apply the EstimationQuantization (EQ) algorithm originally des...
Sridhar Lavu, Hyeokho Choi, Richard G. Baraniuk
NIPS
2008
14 years 11 months ago
Sparse Signal Recovery Using Markov Random Fields
Compressive Sensing (CS) combines sampling and compression into a single subNyquist linear measurement process for sparse and compressible signals. In this paper, we extend the th...
Volkan Cevher, Marco F. Duarte, Chinmay Hegde, Ric...