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CORR
2010
Springer
122views Education» more  CORR 2010»
13 years 4 months ago
A Unified Algorithmic Framework for Multi-Dimensional Scaling
In this paper, we propose a unified algorithmic framework for solving many known variants of MDS. Our algorithm is a simple iterative scheme with guaranteed convergence, and is mo...
Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasu...
ICDE
2008
IEEE
194views Database» more  ICDE 2008»
14 years 6 months ago
P-Cube: Answering Preference Queries in Multi-Dimensional Space
Many new applications that involve decision making need online (i.e., OLAP-styled) preference analysis with multidimensional boolean selections. Typical preference queries includes...
Dong Xin, Jiawei Han
SCALESPACE
1997
Springer
13 years 8 months ago
From High Energy Physics to Low Level Vision
A geometric framework for image scale space, enhancement, and segmentation is presented. We consider intensity images as surfaces in the (x I) space. The image is thereby a 2D surf...
Ron Kimmel, Nir A. Sochen, Ravi Malladi
VIS
2007
IEEE
126views Visualization» more  VIS 2007»
14 years 5 months ago
A Unified Paradigm for Scalable Multi-Projector Displays
We present a general framework for the modeling and optimization of scalable multi-projector displays. Based on this framework, we derive algorithms that can robustly optimize the ...
Niranjan Damera-Venkata, Nelson L. Chang, Jeffre...
MA
2011
Springer
219views Communications» more  MA 2011»
12 years 11 months ago
Quadratic minimisation problems in statistics
We consider the problem minx(x−t) A(x−t) subject to x Bx + 2b x = k where A is positive definite or positive semidefinite. Commonly occurring statistical variants of this pro...
Casper J. Albers, Frank Critchley, John C. Gower