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» Robust binary least squares: Relaxations and algorithms
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ICASSP
2009
IEEE
14 years 3 months ago
On the performance of semidefinite relaxation MIMO detectors for QAM constellations
Due to their computational efficiency and strong empirical performance, semidefinite relaxation (SDR)–based algorithms have gained much attention in multiple–input multiple...
Anthony Man-Cho So
SODA
1997
ACM
171views Algorithms» more  SODA 1997»
13 years 9 months ago
A Practical Approximation Algorithm for the LMS Line Estimator
The problem of fitting a straight line to a finite collection of points in the plane is an important problem in statistical estimation. Robust estimators are widely used because...
David M. Mount, Nathan S. Netanyahu, Kathleen Roma...
ICASSP
2011
IEEE
13 years 7 days ago
Robust distributed detection, localization, and estimation of a diffusive target in clustered wireless sensor networks
Robust operation of wireless sensor networks deployed in harsh environment is important in many application. In this paper, we develop a robust technique for distributed detection...
Sami Aldalahmeh, Mounir Ghogho
ICPR
2002
IEEE
14 years 9 months ago
The Trimmed Iterative Closest Point Algorithm
The problem of geometric alignment of two roughly preregistered, partially overlapping, rigid, noisy 3D point sets is considered. A new natural and simple, robustified extension o...
Dmitry Chetverikov, D. Svirko, Dmitry Stepanov, Pa...
ICDM
2005
IEEE
161views Data Mining» more  ICDM 2005»
14 years 2 months ago
Making Logistic Regression a Core Data Mining Tool with TR-IRLS
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
Paul Komarek, Andrew W. Moore