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ICML
2007
IEEE
14 years 8 months ago
Large-scale RLSC learning without agony
The advances in kernel-based learning necessitate the study on solving a large-scale non-sparse positive definite linear system. To provide a deterministic approach, recent resear...
Wenye Li, Kin-Hong Lee, Kwong-Sak Leung
SWARM
2010
SPRINGER
231views Optimization» more  SWARM 2010»
14 years 17 days ago
Hybrid Particle Swarm and Conjugate Gradient Optimization Algorithm
Abstract. In this work we propose a different particle swarm optimization (PSO) algorithm that employs two key features of the conjugate gradient (CG) method. Namely, adaptive wei...
Abdallah Qteish, Mohammad Hamdan
ICASSP
2011
IEEE
12 years 11 months ago
Adaptive beam tracking for interference alignment in time-varying MIMO interference channels: Conjugate gradient approach
Based on a linear formulation to interference alignment, an adaptive algorithm for interference-aligning beam tracking in time-varying MIMO interference channels is proposed. It i...
Junse Lee, Heejung Yu, Youngchul Sung, Yong H. Lee
BIOID
2008
135views Biometrics» more  BIOID 2008»
13 years 9 months ago
Discriminant Non-negative Matrix Factorization and Projected Gradients for Frontal Face Verification
A novel Discriminant Non-negative Matrix Factorization (DNMF) method that uses projected gradients, is presented in this paper. The proposed algorithm guarantees the algorithm'...
Irene Kotsia, Stefanos Zafeiriou, Ioannis Pitas
TIP
2008
116views more  TIP 2008»
13 years 7 months ago
Automatic Active Model Initialization via Poisson Inverse Gradient
Abstract--Active models have been widely used in image processing applications. A crucial stage that affects the ultimate active model performance is initialization. This paper pro...
Bing Li, Scott T. Acton