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Employment (1)

IBM Research - Almaden: San Jose, California, US

Research Scientist (Natural Language Understanding)
Employment
Source: Self-asserted source
Ishan Jindal

Education and qualifications (1)

Wayne State University: Detroit, MI, US

2015-08-19 to 2019-04-30 | Doctorate (Electrical and Computer Engineering)
Education
Source: Self-asserted source
Ishan Jindal

Works (11)

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, Volume 1 (Long and Short Papers)
2019 | Journal article
Source: Self-asserted source
Ishan Jindal

Tensor Matched Kronecker-structured Subspace Detection for Missing Information

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2019-05 | Conference paper
Source: Self-asserted source
Ishan Jindal

Fast and compact Kronecker-structured dictionary learning for classification and representation

Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
2018 | Conference paper
EID:

2-s2.0-85050984759

Contributors: Jindal, I.; Nokleby, M.
Source: Self-asserted source
Ishan Jindal via Scopus - Elsevier

Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining

2018 IEEE International Conference on Big Data (Big Data)
2018 | Conference paper
Source: Self-asserted source
Ishan Jindal

Classification and Representation via Separable Subspaces: Performance Limits and Algorithms

IEEE Journal of Selected Topics in Signal Processing
2018-10 | Journal article
Contributors: Ishan Jindal; Matthew Nokleby
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Dynamic scene classification using convolutional neural networks

2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings
2017 | Conference paper
EID:

2-s2.0-85019171880

Contributors: Gangopadhyay, A.; Tripathi, S.M.; Jindal, I.; Raman, S.
Source: Self-asserted source
Ishan Jindal via Scopus - Elsevier

Effective object tracking in unstructured crowd scenes

2016 International Conference on Signal and Information Processing, IConSIP 2016
2017 | Conference paper
EID:

2-s2.0-85016133819

Contributors: Jindal, I.; Raman, S.
Source: Self-asserted source
Ishan Jindal via Scopus - Elsevier

Learning deep networks from noisy labels with dropout regularization

Proceedings - IEEE International Conference on Data Mining, ICDM
2017 | Conference paper
EID:

2-s2.0-85014526887

Contributors: Jindal, I.; Nokleby, M.; Chen, X.
Source: Self-asserted source
Ishan Jindal via Scopus - Elsevier

Performance limits on the classification of Kronecker-structured models

IEEE International Symposium on Information Theory - Proceedings
2017 | Conference paper
EID:

2-s2.0-85034081007

Contributors: Jindal, I.; Nokleby, M.
Source: Self-asserted source
Ishan Jindal via Scopus - Elsevier

Echocardiographic image denoising using extreme total variation bilateral filter

Optik
2016 | Journal article
EID:

2-s2.0-84949486588

Contributors: Biradar, N.; Dewal, M.L.; Rohit, M.; Jindal, I.
Source: Self-asserted source
Ishan Jindal via Scopus - Elsevier

Semantic description of a video using representative frames

2015 5th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, NCVPRIPG 2015
2016 | Conference paper
EID:

2-s2.0-84979622705

Contributors: Jindal, I.; Raman, S.
Source: Self-asserted source
Ishan Jindal via Scopus - Elsevier

Peer review (10 reviews for 2 publications/grants)

Review activity for Computer speech & language. (6)
Review activity for Neural Processing Letters. (4)