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» Gradient Convergence in Gradient methods with Errors
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CORR
2012
Springer
232views Education» more  CORR 2012»
12 years 3 months ago
Smoothing Proximal Gradient Method for General Structured Sparse Learning
We study the problem of learning high dimensional regression models regularized by a structured-sparsity-inducing penalty that encodes prior structural information on either input...
Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbone...
ICIP
2006
IEEE
14 years 9 months ago
Gradient Adaptive Image Restoration and Enhancement
Various methods have been proposed for image enhancement and restoration. The main difficulty is how to enhance the structures uniformly while suppressing the noise without artifa...
Hongcheng Wang, Yunqiang Chen, Tong Fang, Jason Ty...
JMLR
2006
79views more  JMLR 2006»
13 years 7 months ago
Estimation of Gradients and Coordinate Covariation in Classification
We introduce an algorithm that simultaneously estimates a classification function as well as its gradient in the supervised learning framework. The motivation for the algorithm is...
Sayan Mukherjee, Qiang Wu
CORR
2010
Springer
103views Education» more  CORR 2010»
13 years 7 months ago
On the Finite Time Convergence of Cyclic Coordinate Descent Methods
Cyclic coordinate descent is a classic optimization method that has witnessed a resurgence of interest in machine learning. Reasons for this include its simplicity, speed and stab...
Ankan Saha, Ambuj Tewari
GLOBECOM
2009
IEEE
14 years 2 months ago
Semi-Blind Gradient-Newton CMA and SDD Algorithm for MIMO Space-Time Equalisation
— Semi-blind space-time equalisation is considered for dispersive multiple-input multiple-output systems that employ high-throughput quadrature amplitude modulation signalling. A...
S. Chen, Lajos Hanzo, H.-T. Cheng