Yariv Aizenbud

1. Randomized LU decomposition
   2016/05/05 by Gil Shabat, Yaniv Shmueli, Yariv Aizenbud +1 · 2 citations
   Computer Science · Engineering · Physics and Astronomy · #Electromagnetic Scattering and Analysis #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
2. PCA-Based Out-of-Sample Extension for Dimensionality Reduction
   2015/11/03 by Yariv Aizenbud, Aizenbud, Yariv, Amit Bermanis +3 · 1 citation
   Mathematics · #FOS: Computer and information sciences #Machine Learning (stat.ML) #stat.ML
3. Randomized LU Decomposition
   2013/10/27 by Gil Shabat, Yaniv Shmueli, Shabat, Gil +5 · 1 citation
   Computer Science · Engineering · Mathematics · #Blind Source Separation Techniques #FOS: Mathematics #Numerical Analysis (math.NA) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #cs.NA #math.NA
4. Multi-View Kernel Consensus For Data Analysis
   2016/06/28 by Moshe Salhov, Ofir Lindenbaum, Salhov, Moshe +9 · 2 citations
   Computer Science · #Neural Networks and Applications #Face and Expression Recognition #Anomaly Detection Techniques and Applications