supported by National Basic Research Program of China (Grant No. 2007CB311002);NSFC(Grant Nos. 61170311,60973015);Sichuan Province Sci. & Tech. Research Project (Grant No. 2011JY0002);Fundamental Research Funds for the Central Universities (Grant No. E022050205)
In signal and image processing,we want to recover a faithful representation of an original scene from blurred,noisy image data.This process can be transformed mathematically into solving a linear system with a blurrin...
supported by National Basic Research Program of China(Grant No.2007CB311002);State Key Program of National Natural Science of China(Grant No.70501030);National Natural Science Foundation of China(Grant No.61070225);China Postdoctoral Science Foundation(Grant Nos.20080440190,200902592);Foundation of Hubei Educational Committee(Grant No.Q20091003)
The previously known frameworks describing the consistency of support vector machine classifica- tion (SVMC) algorithm are usually based on the assumption of independent and identically distributed (i.i.d.) sample...
supported by National Basic Research Program of China (Grant No. 2007CB311002);National Natural Science Foundation of China (Grant Nos. 60975036,11171272);Macao Science and Technology Development Fund (Grant No. 021/2008/A) of Macao Special Administrative Region of the People’s Republic of China
We show the essential ability of sparse signal reconstruction of different compressive sensing strate- gies,which include the L1 regularization, the L0 regularization(thresholding iteration algorithm and OMP algo- ri...
supported by National Basic Research Program of China (Grant No. 2007CB311002);National Natural Science Foundation of China (Grant Nos. 90818020, 60873206)
In many applications, the pre-information on regression function is always unknown. Therefore, it is necessary to learn regression function by means of some valid tools. In this paper we investigate the regression pro...
supported by the National 973 Project (Grant No. 2007CB311002);National Natural Science Foundation of China (Grant Nos. 90818020,60873206)
In this paper, we investigate the radial function manifolds generated by a linear combination of radial functions. Let Wp^r(B^d) be the usual Sobolev class of functions on the unit ball 54. We study the deviation fr...