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» Level-set methods for convex optimization
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JPDC
2006
148views more  JPDC 2006»
15 years 1 months ago
Efficient algorithm for placing a given number of base stations to cover a convex region
In the context of mobile communication, an efficient algorithm for the base-station placement problem is developed in this paper. The objective is to place a given number of base-...
Gautam K. Das, Sandip Das, Subhas C. Nandy, Bhaban...
KDD
2007
ACM
132views Data Mining» more  KDD 2007»
16 years 2 months ago
A scalable modular convex solver for regularized risk minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
CVPR
2010
IEEE
15 years 2 months ago
GPCA with denoising: A moments-based convex approach
This paper addresses the problem of segmenting a combination of linear subspaces and quadratic surfaces from sample data points corrupted by (not necessarily small) noise. Our mai...
Necmiye Ozay, Mario Sznaier, Constantino M. Lagoa,...
ICC
2007
IEEE
119views Communications» more  ICC 2007»
15 years 8 months ago
A Convex Quadratic SDMA Grouping Algorithm Based on Spatial Correlation
Abstract— Space Division Multiple Access (SDMA) is a promising solution to improve the spectral efficiency of future mobile radio systems. However, finding the group of MSs tha...
Tarcisio F. Maciel, Anja Klein
NIPS
2007
15 years 3 months ago
Convex Clustering with Exemplar-Based Models
Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
Danial Lashkari, Polina Golland