Tong Wu
Tong Wu
Machine Learning Engineer at Factset
Verified email at rutgers.edu - Homepage
TitleCited byYear
Learning the nonlinear geometry of high-dimensional data: Models and algorithms
T Wu, WU Bajwa
IEEE Transactions on Signal Processing 63 (23), 6229-6244, 2015
82015
Hierarchical union-of-subspaces model for human activity summarization
T Wu, P Gurram, RM Rao, WU Bajwa
Proceedings of the IEEE International Conference on Computer Vision …, 2015
82015
Painting analysis using wavelets and probabilistic topic models
T Wu, G Polatkan, D Steel, W Brown, I Daubechies, R Calderbank
2013 IEEE International Conference on Image Processing, 3264-3268, 2013
82013
Clustering-aware structure-constrained low-rank representation model for learning human action attributes
T Wu, P Gurram, RM Rao, WU Bajwa
2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop …, 2016
52016
Subspace detection in a kernel space: The missing data case
T Wu, WU Bajwa
2014 IEEE Workshop on Statistical Signal Processing (SSP), 93-96, 2014
42014
Revisiting robustness of the union-of-subspaces model for data-adaptive learning of nonlinear signal models
T Wu, WU Bajwa
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
42014
A Low Tensor-Rank Representation Approach for Clustering of Imaging Data
T Wu, WU Bajwa
IEEE Signal Processing Letters 25 (8), 1196-1200, 2018
32018
Active dictionary learning for image representation
T Wu, AD Sarwate, WU Bajwa
Unmanned Systems Technology XVII 9468, 946809, 2015
22015
Metric-constrained kernel union of subspaces
T Wu, WU Bajwa
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
22015
Distributed learning of human mobility patterns from cellular network data
T Wu, RM Rustamov, C Goodall
2017 51st Annual Conference on Information Sciences and Systems (CISS), 1-6, 2017
12017
Human action attribute learning from video data using low-rank representations
T Wu, P Gurram, RM Rao, WU Bajwa
arXiv preprint arXiv:1612.07857, 2016
12016
Human Action Attribute Learning Using Low-Rank Representations
T Wu, P Gurram, RM Rao, WU Bajwa
Signal Processing with Adaptive Sparse Structured Representations (SPARS …, 2017
2017
Learning the nonlinear geometric structure of high-dimensional data: models, algorithms, and applications
T Wu
Rutgers University-Graduate School-New Brunswick, 2017
2017
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