Partha P. Mitra

1. A procedure for an automated measurement of song similarity
   2000/06/01 by Ofer Tchernichovski, Fernando Nottebohm, Ching Elizabeth Ho +3 · 7 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · Environmental Science · #Animal Vocal Communication and Behavior #Marine animal studies overview #Music and Audio Processing
2. Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate
   2018/06/13 by Mikhail Belkin, Daniel Hsu, Belkin, Mikhail +3 · 9 citations
   Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Statistical Mechanics (cond-mat.stat-mech)
3. Temporal structure in neuronal activity during working memory in Macaque parietal cortex
   2000/05/10 by B. Pesaran, Bijan Pesaran, John S. Pezaris +12 · 3 citations
   Biochemistry, Genetics and Molecular Biology · Neuroscience · #Memory and Neural Mechanisms #Neural dynamics and brain function #Neuroscience and Neuropharmacology Research #q-bio.NC
4. Distributions of Singular Values for Some Random Matrices
   1997/09/25 by A. M. Sengupta, Ashis SenGupta, P. P. Mitra +3 · 2 citations
   Computer Science · Engineering · Mathematics · Physics and Astronomy · #Data Analysis #FOS: Physical sciences #Medical Image Segmentation Techniques #Sparse and Compressive Sensing Techniques #Statistical Mechanics (cond-mat.stat-mech) #Statistical and numerical algorithms #Statistics and Probability (physics.data-an) #cond-mat.stat-mech #physics.data-an
5. Capacity of multivariate channels with multiplicative noise: I.Random matrix techniques and large-N expansions for full transfer matrices
   2000/10/31 by Anirvan M. Sengupta, Anirvan Mayukh Sengupta, Sengupta, Anirvan Mayukh +3 · 2 citations
   Computer Science · Engineering · Mathematics · Physics and Astronomy · #Bayesian Methods and Mixture Models #Condensed Matter (cond-mat) #Data Analysis #FOS: Physical sciences #Random Matrices and Applications #Statistics and Probability (physics.data-an) #Wireless Communication Security Techniques #cond-mat #physics.data-an
6. Conventions and nomenclature for double diffusion encoding NMR and MRI
   2015/09/29 by Noam Shemesh, Sune N. Jespersen, Sune Nørhøj Jespersen +19 · 2 citations
   Medicine · Physics and Astronomy · #Advanced MRI Techniques and Applications #Advanced Neuroimaging Techniques and Applications #NMR spectroscopy and applications
7. Nonlinear limits to the information capacity of optical fiber communications
   2000/11/07 by Partha P. Mitra, Mitra, Partha P., Jason B. Stark +1 · 1 citation
   Physics and Astronomy · #Data Analysis #FOS: Physical sciences #Statistical Mechanics (cond-mat.stat-mech) #Statistics and Probability (physics.data-an) #cond-mat.stat-mech #physics.data-an
8. Locally Convex Sparse Learning over Networks
   2018/03/31 by Ahmed Zaki, Zaki, Ahmed, Saikat Chatterjee +5 · 1 citation
   Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Sparse and Compressive Sensing Techniques
9. Progressive Learning for Systematic Design of Large Neural Networks
   2017/10/23 by Saikat Chatterjee, Chatterjee, Saikat, Alireza M. Javid +7 · 1 citation
   Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Stochastic Gradient Optimization Techniques
10. Multiple neural spike train data analysis: state-of-the-art and future challenges
    2004/04/27 by Emery N Brown, Emery N. Brown, Robert E. Kass +3 · 1 citation
    Chemistry · Neuroscience · #Electrochemical Analysis and Applications #Neural dynamics and brain function #Neuroscience and Neural Engineering
11. SSFN -- Self Size-estimating Feed-forward Network with Low Complexity, Limited Need for Human Intervention, and Consistent Behaviour across Trials
    2019/05/17 by Saikat Chatterjee, Alireza M. Javid, Chatterjee, Saikat +11 · 1 citation
    Computer Science · Materials Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Machine Learning in Materials Science #Neural Networks and Applications