A G Ramakrishnan

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indian institute of science

Featured Co-authors

Ram Krishna Pandey
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Samarjit Karmakar
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T V Ananthapadmanabha
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A Novel Deep Learning Architecture for Decoding Imagined Speech from EEG

The recent advances in the field of deep learning have not been fully ut...
03/19/2020 ∙ by Jerrin Thomas Panachakel, et al. ∙ 0 ∙ share

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Decoding Imagined Speech using Wavelet Features and Deep Neural Networks

This paper proposes a novel approach that uses deep neural networks for ...
03/19/2020 ∙ by Jerrin Thomas Panachakel, et al. ∙ 0 ∙ share

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An Improved EEG Acquisition Protocol Facilitates Localized Neural Activation

This work proposes improvements in the electroencephalogram (EEG) record...
03/13/2020 ∙ by Jerrin Thomas Panachakel, et al. ∙ 0 ∙ share

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Improving Facial Emotion Recognition Systems Using Gradient and Laplacian Images

In this work, we have proposed several enhancements to improve the perfo...
02/12/2019 ∙ by Ram Krishna Pandey, et al. ∙ 0 ∙ share

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Binary Document Image Super Resolution for Improved Readability and OCR Performance

There is a need for information retrieval from large collections of low-...
12/06/2018 ∙ by Ram Krishna Pandey, et al. ∙ 6 ∙ share

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Pitch-synchronous DCT features: A pilot study on speaker identification

We propose a new feature, namely, pitchsynchronous discrete cosine trans...
12/06/2018 ∙ by Amit Meghanani, et al. ∙ 0 ∙ share

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Using Monte Carlo dropout for non-stationary noise reduction from speech

In this work, we propose the use of dropout as a Bayesian estimator for ...
08/28/2018 ∙ by Nazreen P M, et al. ∙ 0 ∙ share

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MSCE: An edge preserving robust loss function for improving super-resolution algorithms

With the recent advancement in the deep learning technologies such as CN...
08/25/2018 ∙ by Ram Krishna Pandey, et al. ∙ 0 ∙ share

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Computationally Efficient Approaches for Image Style Transfer

In this work, we have investigated various style transfer approaches and...
07/16/2018 ∙ by Ram Krishna Pandey, et al. ∙ 0 ∙ share

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Subjective and objective experiments on the influence of speaker's gender on the unvoiced segments

Subjective and objective experiments are conducted to understand the ext...
07/16/2018 ∙ by A Madhavaraj, et al. ∙ 0 ∙ share

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DNN Based Speech Enhancement for Unseen Noises Using Monte Carlo Dropout

In this work, we propose the use of dropouts as a Bayesian estimator for...
06/01/2018 ∙ by Nazreen P M, et al. ∙ 0 ∙ share

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A hybrid approach of interpolations and CNN to obtain super-resolution

We propose a novel architecture that learns an end-to-end mapping functi...
05/23/2018 ∙ by Ram Krishna Pandey, et al. ∙ 0 ∙ share

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Segmentation of Liver Lesions with Reduced Complexity Deep Models

We propose a computationally efficient architecture that learns to segme...
05/23/2018 ∙ by Ram Krishna Pandey, et al. ∙ 0 ∙ share

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Language Independent Single Document Image Super-Resolution using CNN for improved recognition

Recognition of document images have important applications in restoring ...
01/30/2017 ∙ by Ram Krishna Pandey, et al. ∙ 0 ∙ share

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Quadratically constrained quadratic programming for classification using particle swarms and applications

Particle swarm optimization is used in several combinatorial optimizatio...
07/23/2014 ∙ by Deepak Kumar, et al. ∙ 0 ∙ share

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Benchmarking recognition results on word image datasets

We have benchmarked the maximum obtainable recognition accuracy on vario...
08/30/2012 ∙ by Deepak Kumar, et al. ∙ 0 ∙ share

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