Jun Zhou
Computer Vision and Pattern Recognition · with Qian · 2011–2013
A researcher in the Science corpus: 3 papers; trusts 33 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 20 citations into it
- Media Technology — 18 citations into it; #2,107 of 3,621 by trust here, #2,114 by citations
- Computational Mechanics — 17 citations into it; #8,390 of 10,001 by trust here, #7,884 by citations
- Statistics and Probability — 9 citations into it
- Analytical Chemistry — 8 citations into it
- Atmospheric Science — 8 citations into it; #3,359 of 4,804 by trust here, #3,801 by citations
- Optimization & Training — 7 citations into it
- Artificial Intelligence — 6 citations into it
Whom Jun Zhou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- José M. Bioucas-Dias
- Patrik O. Hoyer
- Robert Tibshirani
- Yurii E. Nesterov
- Francis R. Bach
- Jun Liu
- Daniel D. Lee
- Paul Tseng
- Stephen J. Wright
- Jose M. P. Nascimento
Who trusts Jun Zhou overall
Papers from Jun Zhou's perspective
Ordered by how strongly the researchers Jun Zhou trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning the parts of objects by non-negative matrix factorization
- Model selection and estimation in regression with grouped variables
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Emergence of simple-cell receptive field properties by learning a sparse code for natural images
- Convergence of a Block Coordinate Descent Method for Nondifferentiable Minimization
- ImageNet classification with deep convolutional neural networks
- 双対平坦空間におけるLeast Angle Regressionと情報量規準
Their papers
- Use of SIMD Vector Operations to Accelerate Application Code Performance on Low-Powered ARM and Intel Platforms (2013) — 94 citations
- Hyperspectral Image Classification Based on Structured Sparse Logistic Regression and Three-Dimensional Wavelet Texture Features (2013) — 372 citations
- Hyperspectral Unmixing via $L_{1/2}$ Sparsity-Constrained Nonnegative Matrix Factorization (2011) — 558 citations