Search Results for author: Jianbo Yang

Found 7 papers, 1 papers with code

Research on Fitness Function of Two Evolution Algorithms Used for Neutron Spectrum Unfolding

no code implementations30 Jul 2020 Rui Li, Jianbo Yang, Xianguo Tuo, Rui Shi

In this work, we investigated the performance of eight fitness functions attached to the genetic algorithm (GA) and the differential evolution algorithm (DEA) used for unfolding four neutron spectra selected from the IAEA 403 report.

Convolutional Geometric Matrix Completion

no code implementations2 Mar 2018 Kai-Lang Yao, Wu-Jun Li, Jianbo Yang, Xinyan Lu

Recently, geometric deep learning on graphs (GDLG) is proposed to solve the GMC problem, showing better performance than existing GMC methods including traditional graph regularization based methods.

Matrix Completion

Compressive Sensing of Signals from a GMM with Sparse Precision Matrices

no code implementations NeurIPS 2014 Jianbo Yang, Xuejun Liao, Minhua Chen, Lawrence Carin

This paper is concerned with compressive sensing of signals drawn from a Gaussian mixture model (GMM) with sparse precision matrices.

Compressive Sensing

Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Features in the Presence of Side Information

no code implementations1 Dec 2014 Francesco Renna, Liming Wang, Xin Yuan, Jianbo Yang, Galen Reeves, Robert Calderbank, Lawrence Carin, Miguel R. D. Rodrigues

These conditions, which are reminiscent of the well-known Slepian-Wolf and Wyner-Ziv conditions, are a function of the number of linear features extracted from the signal of interest, the number of linear features extracted from the side information signal, and the geometry of these signals and their interplay.

General Classification

Low-Cost Compressive Sensing for Color Video and Depth

no code implementations CVPR 2014 Xin Yuan, Patrick Llull, Xuejun Liao, Jianbo Yang, Guillermo Sapiro, David J. Brady, Lawrence Carin

A simple and inexpensive (low-power and low-bandwidth) modification is made to a conventional off-the-shelf color video camera, from which we recover {multiple} color frames for each of the original measured frames, and each of the recovered frames can be focused at a different depth.

Compressive Sensing Translation

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