Anshul Thakur

According to our database1, Anshul Thakur authored at least 20 papers between 2015 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Co-Channel Secondary Deployment Over DTV Bands Using Reconfigurable Radios.
IEEE Trans. Veh. Technol., 2020

Glaucoma Precognition: Recognizing Preclinical Visual Functional Signs of Glaucoma.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Deep Archetypal Analysis Based Intermediate Matching Kernel for Bioacoustic Classification.
IEEE J. Sel. Top. Signal Process., 2019

Multiscale CNN based Deep Metric Learning for Bioacoustic Classification: Overcoming Training Data Scarcity Using Dynamic Triplet Loss.
CoRR, 2019

Directional Embedding Based Semi-supervised Framework For Bird Vocalization Segmentation.
CoRR, 2019

Interference-Aware Co-Channel Transmission Over DTV Bands via Partial Frequency and Time Overlaps.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

CONV-codes: Audio Hashing for Bird Species Classification.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Convex likelihood alignments for bioacoustic Classification.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

APE: Archetypal-Prototypal Embeddings for Audio Classification.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Deep Convex Representations: Feature Representations for Bioacoustics Classification.
Proceedings of the Interspeech 2018, 2018

ASe: Acoustic Scene Embedding Using Deep Archetypal Analysis and GMM.
Proceedings of the Interspeech 2018, 2018

All-Conv Net for Bird Activity Detection: Significance of Learned Pooling.
Proceedings of the Interspeech 2018, 2018

Compressed Convex Spectral Embedding for Bird Species Classification.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Layer-wise Score Level Ensemble Framework for Acoustic Scene Classification.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Unsupervised birdcall activity detection using source and system features.
Proceedings of the Twenty-third National Conference on Communications, 2017

Rényi entropy based mutual information for semi-supervised bird vocalization segmentation.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Rapid bird activity detection using probabilistic sequence kernels.
Proceedings of the 25th European Signal Processing Conference, 2017

Archetypal analysis based sparse convex sequence kernel for bird activity detection.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Model-based unsupervised segmentation of birdcalls from field recordings.
Proceedings of the 10th International Conference on Signal Processing and Communication Systems, 2016

2015
Automatic articulation error detection tool for Punjabi language with aid for hearing impaired people.
Int. J. Speech Technol., 2015


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