Arunava Banerjee

Orcid: 0000-0002-6792-4019

According to our database1, Arunava Banerjee authored at least 67 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An annular event-triggered artificial time-delayed control-based guidance approach.
Int. J. Control, 2024

A survey on 3D object detection in real time for autonomous driving.
Frontiers Robotics AI, 2024

Robust online reconstruction of continuous-time signals from a lean spike train ensemble code.
CoRR, 2024

Robust Control for Cancer Chemotherapy Through Time Delayed Estimation Philosophy.
IEEE Access, 2024

2023
Beyond Rate Coding: Signal Coding and Reconstruction Using Lean Spike Trains.
Proceedings of the IEEE International Conference on Acoustics, 2023

Bio-mimetic Autonomous Underwater Vehicle Control Using Time Delayed Estimation Technique.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2023

2022
Proprioceptive Observer Design for Speed Estimation in Automated Driving Systems.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Slip-Aware Networked Vehicular Model and Control for Connected Automated Driving.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021
Pseudospectral method-based optimal control for a nonlinear five degree of freedom active magnetic bearing system.
Trans. Inst. Meas. Control, 2021

Solving A System Of Linear Equations By Randomized Orthogonal Projectors.
CoRR, 2021

2020
Time-energy optimal guidance strategy for realistic interceptor using pseudospectral method.
Trans. Inst. Meas. Control, 2020

Spike-Triggered Descent.
CoRR, 2020

Pseudospectral Method based Optimal Control of Tuberculosis Model.
Proceedings of the 28th Mediterranean Conference on Control and Automation, 2020

Event-Trigger based Adaptive-Robust Guidance Strategy with Input Saturation.
Proceedings of the 28th Mediterranean Conference on Control and Automation, 2020

Time-Energy Efficient Path Tracking for Spacecraft in Finite-Time Under Input Saturation.
Proceedings of the 28th Mediterranean Conference on Control and Automation, 2020

2019
Signal Coding and Perfect Reconstruction using Spike Trains.
CoRR, 2019

2018
Multi-Scale Generalized Plane Match for Optical Flow.
CoRR, 2018

An evaluation of pupillary light response models for 2D screens and VR HMDs.
Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology, 2018

2017
Learning Feedforward and Recurrent Deterministic Spiking Neuron Network Feedback Controllers.
CoRR, 2017

Automatic Discovery of Common and Idiosyncratic Latent Effects in Multilevel Regression.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Signal coding and reconstruction using deterministic spiking neurons.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Learning deterministic spiking neuron feedback controllers.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Learning Precise Spike Train-to-Spike Train Transformations in Multilayer Feedforward Neuronal Networks.
Neural Comput., 2016

Denoising Time Series by Way of a Flexible Model for Phase Space Reconstruction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Automatic Detection of Latent Common Clusters of Groups in MultiGroup Regression.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

Decoupling light reflex from pupillary dilation to measure emotional arousal in videos.
Proceedings of the ACM Symposium on Applied Perception, 2016

2015
Sensitivity Analysis for additive STDP rule.
CoRR, 2015

BayClone: Bayesian Nonparametric Inference of Tumor Subclones Using NGS Data.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

2014
Connectomic constraints on computation in feedforward networks of spiking neurons.
J. Comput. Neurosci., 2014

Learning Spike Train to Spike Train Transformations in Multilayer Feedforward Neuronal Networks.
CoRR, 2014

Variational Inference on Infinite Mixtures of Inverse Gaussian, Multinomial Probit and Exponential Regression.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

2013
Image Denoising Using the Higher Order Singular Value Decomposition.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Inventory Pooling to Deliver Differentiated Service.
Manuf. Serv. Oper. Manag., 2013

2012
Trainable Convolution Filters and Their Application to Face Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

2011
Non-Lambertian Reflectance Modeling and Shape Recovery of Faces Using Tensor Splines.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

A Finite-Sample, Distribution-Free, Probabilistic Lower Bound on Mutual Information.
Neural Comput., 2011

Maximizing all margins: Pushing face recognition with Kernel Plurality.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Using the Higher Order Singular Value Decomposition for Video Denoising.
Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011

The Complex Wave Representation of Distance Transforms.
Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011

2010
A Method for Compact Image Representation Using Sparse Matrix and Tensor Projections Onto Exemplar Orthonormal Bases.
IEEE Trans. Image Process., 2010

A Novel Kernel for Learning a Neuron Model from Spike Train Data.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Eigenbubbles: An Enhanced Apparent BRDF Representation.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Automated Filter Parameter Selection Using Measures of Noiseness.
Proceedings of the Canadian Conference on Computer and Robot Vision, 2010

Profiling Phishing Emails Based on Hyperlink Information.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010

2009
Probability Density Estimation Using Isocontours and Isosurfaces: Applications to Information-Theoretic Image Registration.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Dynamics of 2-worker bucket brigade assembly line with blocking and instantaneous walk-back.
Oper. Res. Lett., 2009

Image Filtering Driven by Level Curves.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2009

Volterrafaces: Discriminant analysis using Volterra kernels.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Dynamical Constraints on Using Precise Spike Timing to Compute in Recurrent Cortical Networks.
Neural Comput., 2008

On path correlation and PERT bias.
Eur. J. Oper. Res., 2008

Beyond SVD: Sparse projections onto exemplar orthonormal bases for compact image representation.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Large margin pursuit for a Conic Section classifier.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Beyond the Lambertian assumption: A generative model for Apparent BRDF fields of faces using anti-symmetric tensor splines.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
BLISS 2.0: a web-based tool for predicting conserved regulatory modules in distantly-related orthologous sequences.
Bioinform., 2007

A Novel Process Approach to SEITON: A Case Study.
Proceedings of the International MultiConference of Engineers and Computer Scientists 2007, 2007

2006
On the sensitive dependence on initial conditions of the dynamics of networks of spiking neurons.
J. Comput. Neurosci., 2006

BLISS: biding site level identification of shared signal-modules in DNA regulatory sequences.
BMC Bioinform., 2006

Continuous image representations avoid the histogram binning problem in mutual information based image registration.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

New Method of Probability Density Estimation with Application to Mutual Information Based Image Registration.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

A Conic Section Classifier and its Application to Image Datasets.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Average fill rate and horizon length.
Oper. Res. Lett., 2005

2003
Converting numerical classification into text classification.
Artif. Intell., 2003

2002
Dynamical Constraints on Computing with Spike Timing in the Cortex.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
On the Phase-Space Dynamics of Systems of Spiking Neurons. II: Formal Analysis.
Neural Comput., 2001

On the Phase-Space Dynamics of Systems of Spiking Neurons. I: Model and Experiments.
Neural Comput., 2001

Using Text Classifiers for Numerical Classification.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

1998
Human Performance on Clustering Web Pages: A Preliminary Study.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998


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