266 citations · 273 across the 6 of their papers we have counts for
6 papers
Learning through deterministic assignment of hidden parameters
Jian Fang, Shaobo Lin, Zongben Xu
Supervised learning frequently boils down to determining hidden and bright parameters in a parameterized hypothesis space based on finite input-output samples. The hidden parameter…
Learning and approximation capability of orthogonal super greedy algorithm
Jian Fang, Shaobo Lin, Zongben Xu
We consider the approximation capability of orthogonal super greedy algorithms (OSGA) and its applications in supervised learning. OSGA is concerned with selecting more than one at…
Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part II)
Shaobo Lin, Xia Liu, Jian Fang +1
An extreme learning machine (ELM) can be regarded as a two stage feed-forward neural network (FNN) learning system which randomly assigns the connections with and within hidden neu…
Learning rates of coefficient regularization learning with Gaussian kernel
Shaobo Lin, Jinshan Zeng, Jian Fang +1
Regularization is a well recognized powerful strategy to improve the performance of a learning machine and regularization schemes with are central in use. It is…
Compressed Sensing SAR Imaging with Multilook Processing
Jian Fang, Zongben Xu, Bingchen Zhang +2
Multilook processing is a widely used speckle reduction approach in synthetic aperture radar (SAR) imaging. Conventionally, it is achieved by incoherently summing of some independe…
Fast Compressed Sensing SAR Imaging based on Approximated Observation
Jian Fang, Zongben Xu, Bingchen Zhang +2
In recent years, compressed sensing (CS) has been applied in the field of synthetic aperture radar (SAR) imaging and shows great potential. The existing models are, however, based…