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PR
2008
85views more  PR 2008»
13 years 7 months ago
Quadratic boosting
This paper presents a strategy to improve the AdaBoost algorithm with a quadratic combination of base classifiers. We observe that learning this combination is necessary to get be...
Thang V. Pham, Arnold W. M. Smeulders
ISCA
1995
IEEE
110views Hardware» more  ISCA 1995»
13 years 11 months ago
Optimization of Instruction Fetch Mechanisms for High Issue Rates
Recent superscalar processors issue four instructions per cycle. These processors are also powered by highly-parallel superscalar cores. The potential performance can only be expl...
Thomas M. Conte, Kishore N. Menezes, Patrick M. Mi...
SIAMJO
2010
137views more  SIAMJO 2010»
13 years 6 months ago
Global Convergence of a New Hybrid Gauss--Newton Structured BFGS Method for Nonlinear Least Squares Problems
In this paper, we propose a hybrid Gauss-Newton structured BFGS method with a new update formula and a new switch criterion for the iterative matrix to solve nonlinear least square...
Weijun Zhou, Xiaojun Chen
AMDO
2006
Springer
13 years 9 months ago
Interactive Soft Object Simulation with Quadratic Finite Elements
Abstract. We present a new method to simulate deformable volumetric objects interactively using finite elements. With quadratic basis functions and a non-linear strain tensor, we a...
Johannes Mezger, Wolfgang Straßer
ICASSP
2008
IEEE
14 years 2 months ago
Robust adaptive beamforming using sequential quadratic programming
In this paper, a new algorithm for robust adaptive beamforming is developed. The basic idea of the proposed algorithm is to estimate the difference between the actual and presumed...
Aboulnasr Hassanien, Sergiy A. Vorobyov, Kon Max W...