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NESTA: A FAST AND ACCURATE FIRST-ORDER METHOD FOR SPARSE RECOVERY
Nesterov’s method smooth approximations of nonsmooth functions `1 minimization duality in convex optimization continuation methods compressed sensing total-variation minimization
2015/6/17
Accurate signal recovery or image reconstruction from indirect and possibly undersampled data is a topic of considerable interest; for example, the literature in the recent field of compressed sensing...
Fast and Accurate Algorithms for Re-Weighted L1-Norm Minimization
Fast and Accurate Algorithms Re-Weighted L1-Norm Minimization
2012/9/17
To recover a sparse signal from an underdetermined system, we often solve a constrained`1-norm minimization problem. In many cases, the signal sparsity and the recovery performance can be further impr...
Locally Assembled Binary (LAB) Feature for Fast and Accurate Face Detection,
Locally Assembled Binary Face Detection
2010/12/17
In this paper, we describe a novel type of feature for fast and accurate face detection. The feature is called Locally Assembled Binary (LAB) Haar feature. LAB feature is basically inspired by the suc...
Locally Assembled Binary (LAB) Feature with Feature-centric Cascade for Fast and Accurate Face Detection
Locally Assembled Binary (LAB) Feature with Feature-centric Cascade Fast and Accurate Face Detection
2013/7/17
In this paper, we describe a novel type of feature for fast and accurate face detection. The feature is called Locally Assembled Binary (LAB) Haar feature. LAB feature is basically inspired by the suc...