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...
Many new applications that involve decision making need online (i.e., OLAP-styled) preference analysis with multidimensional boolean selections. Typical preference queries includes...
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...
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...
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...