Ishan Jindal

According to our database1, Ishan Jindal authored at least 13 papers between 2015 and 2019.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
An Effective Label Noise Model for DNN Text Classification.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Tensor Matched Kronecker-structured Subspace Detection for Missing Information.
Proceedings of the IEEE International Conference on Acoustics, 2019

A Nonlinear, Noise-aware, Quasi-clustering Approach to Learning Deep CNNs from Noisy Labels.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Classification and Representation via Separable Subspaces: Performance Limits and Algorithms.
IEEE J. Sel. Top. Signal Process., 2018

Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining.
Proceedings of the IEEE International Conference on Big Data, 2018

2017
A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip.
CoRR, 2017

Performance limits on the classification of Kronecker-structured models.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Fast and compact Kronecker-structured dictionary learning for classification and representation.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Learning Deep Networks from Noisy Labels with Dropout Regularization.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Dynamic scene classification using convolutional neural networks.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015
Effective Object Tracking in Unstructured Crowd Scenes.
CoRR, 2015

SA-CNN: Dynamic Scene Classification using Convolutional Neural Networks.
CoRR, 2015

Semantic description of a video using representative frames.
Proceedings of the 2015 Fifth National Conference on Computer Vision, 2015


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