Laura Balzano
- Online Identification and Tracking of Subspaces from Highly Incomplete\n Information
2010/06/21 by Laura Balzano, Balzano, Laura, Robert D. Nowak +3 · 5 citations
Computer Science · Engineering · #Advanced Adaptive Filtering Techniques #Blind Source Separation Techniques #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Systems and Control (eess.SY) #Target Tracking and Data Fusion in Sensor Networks #electronic engineering #information engineering
- Learning physics-based reduced-order models from data using nonlinear manifolds
2023/08/05 by Rudy Geelen, Laura Balzano, Geelen, Rudy +5 · 8 citations
Computer Science · Engineering · Physics and Astronomy · #Control Systems and Identification #FOS: Mathematics #Model Reduction and Neural Networks #Neural Networks and Applications #Numerical Analysis (math.NA)
- Deep Unsupervised Clustering Using Mixture of Autoencoders
2017/12/21 by Dejiao Zhang, Zhang, Dejiao, Yifan Sun +5 · 5 citations
Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Face and Expression Recognition #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation
2015/06/24 by Dejiao Zhang, Laura Balzano, Zhang, Dejiao +1 · 3 citations
Computer Science · Engineering · #65Y20 #90C52 #F.2.1 #FOS: Computer and information sciences #FOS: Mathematics #G.1.6 #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Optical measurement and interference techniques #Sparse and Compressive Sensing Techniques #Structural Health Monitoring Techniques
- Optimally Weighted PCA for High-Dimensional Heteroscedastic Data
2018/10/30 by David Hong, Hong, David, Jeffrey A. Fessler +4 · 3 citations
Computer Science · Mathematics · Chemistry · #Blind Source Separation Techniques #Advanced Statistical Methods and Models #Spectroscopy and Chemometric Analyses
- Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation
2024/06/06 by Can Yaras, Peng Wang, Yaras, Can +5 · 6 citations
Computer Science · Physics and Astronomy · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Signal Processing (eess.SP) #electronic engineering #information engineering
- Online Robust Subspace Tracking from Partial Information
2011/09/18 by Jun He, Laura Balzano, He, Jun +3 · 2 citations
Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Indoor and Outdoor Localization Technologies #Information Theory (cs.IT) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Systems and Control (eess.SY) #Target Tracking and Data Fusion in Sensor Networks #electronic engineering #information engineering
- Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold
2022/09/19 by Can Yaras, Yaras, Can, Peng Wang +7 · 3 citations
Computer Science · Engineering · #3D Shape Modeling and Analysis #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Imaging and Analysis #Signal Processing (eess.SP) #electronic engineering #information engineering
- Local Convergence of an Algorithm for Subspace Identification from\n Partial Data
2013/06/14 by Laura Balzano, Stephen J. Wright, Balzano, Laura +1 · 1 citation
Computer Science · Engineering · #Direction-of-Arrival Estimation Techniques #FOS: Mathematics #Numerical Analysis (math.NA) #Radar Systems and Signal Processing #Sparse and Compressive Sensing Techniques #Structural Health Monitoring Techniques
- The Law of Parsimony in Gradient Descent for Learning Deep Linear Networks
2023/06/01 by Can Yaras, Peng Wang, Yaras, Can +9 · 2 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
- Subspace Clustering using Ensembles of K-Subspaces
2017/09/14 by John Lipor, David Hong, Lipor, John +5 · 1 citation
Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Video Surveillance and Tracking Methods
- Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination
2023/11/06 by Peng Wang, Wang, Peng, Li Xiao +11 · 2 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Face and Expression Recognition #Machine Learning and Data Classification
- Supervised PCA: A Multiobjective Approach
2020/11/10 by Alexander Ritchie, Ritchie, Alexander, Laura Balzano +4 · 1 citation
Chemistry · Agricultural and Biological Sciences · Computer Science · #Spectroscopy and Chemometric Analyses #Sensory Analysis and Statistical Methods #Face and Expression Recognition
- Certainty Equivalent Quadratic Control for Markov Jump Systems
2021/05/26 by Zhe Du, Du, Zhe, Yahya Sattar +9 · 1 citation
Engineering · #Advanced Control Systems Optimization #Control Systems and Identification #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Stability and Control of Uncertain Systems #Systems and Control (eess.SY) #electronic engineering #information engineering
- Fair Community Detection and Structure Learning in Heterogeneous Graphical Models
2021/12/09 by Davoud Ataee Tarzanagh, Tarzanagh, Davoud Ataee, Laura Balzano +3 · 1 citation
Computer Science · Mathematics · #Advanced Causal Inference Techniques #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
- Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering
2022/06/11 by Peng Wang, Wang, Peng, Huikang Liu +5 · 1 citation
Computer Science · Mathematics · Engineering · #Face and Expression Recognition #Survey Sampling and Estimation Techniques #Sparse and Compressive Sensing Techniques
- A Proximal DC Algorithm for Sample Average Approximation of Chance Constrained Programming
2023/01/01 by Peng Wang, Wang, Peng, Rujun Jiang +5 · 1 citation
Engineering · Computer Science · Decision Sciences · #Optimization and Mathematical Programming #Optimization and Variational Analysis #Risk and Portfolio Optimization
- Matrix Completion Under Monotonic Single Index Models
2015/12/29 by Ravi Ganti, Ganti, Ravi, Laura Balzano +3 · 1 citation
Computer Science · Engineering · #Advanced Image Processing Techniques #Blind Source Separation Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques