Dana Lahat
Signal Processing · 2015
A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 21 citations into it; #6,240 of 7,572 by trust here, #4,201 by citations
- Computational Mathematics — 11 citations into it
- Cognitive Neuroscience — 10 citations into it
- Artificial Intelligence — 9 citations into it; #29,084 of 35,345 by trust here, #22,463 by citations
- Media Technology — 7 citations into it; #2,858 of 3,621 by trust here, #2,033 by citations
- Computational Mechanics — 5 citations into it
- Radiology, Nuclear Medicine and Imaging — 5 citations into it
Whom Dana Lahat trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jean-François Cardoso
- Allan Aasbjerg Nielsen
- Pierre Comon
- Lieven De Lathauwer
- John William Paisley
- Joseph B. Kruskal
- N. Sidiropoulos
- Vince D. Calhoun
- Naoto Yokoya
- T. Adalı
Who trusts Dana Lahat overall
Papers from Dana Lahat's perspective
Ordered by how strongly the researchers Dana Lahat trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Blind beamforming for non-gaussian signals
- Some mathematical notes on three-mode factor analysis
- Tensor Decompositions and Applications
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Relations Between Two Sets of Variates
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects (2015) — 1,143 citations