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09/05/2023
Histograms of Points, Orientations, and Dynamics of Orientations Features for Hindi Online Handwritten Character Recognition
A set of features independent of character stroke direction and order va...
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09/12/2021
Unsupervised Domain Adaptation Schemes for Building ASR in Low-resource Languages
Building an automatic speech recognition (ASR) system from scratch requi...
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03/19/2020
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...
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03/19/2020
Decoding Imagined Speech using Wavelet Features and Deep Neural Networks
This paper proposes a novel approach that uses deep neural networks for ...
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03/13/2020
An Improved EEG Acquisition Protocol Facilitates Localized Neural Activation
This work proposes improvements in the electroencephalogram (EEG) record...
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02/12/2019
Improving Facial Emotion Recognition Systems Using Gradient and Laplacian Images
In this work, we have proposed several enhancements to improve the perfo...
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12/06/2018
Binary Document Image Super Resolution for Improved Readability and OCR Performance
There is a need for information retrieval from large collections of low-...
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12/06/2018
Pitch-synchronous DCT features: A pilot study on speaker identification
We propose a new feature, namely, pitchsynchronous discrete cosine trans...
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08/28/2018
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 ...
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08/25/2018
MSCE: An edge preserving robust loss function for improving super-resolution algorithms
With the recent advancement in the deep learning technologies such as CN...
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07/16/2018
Computationally Efficient Approaches for Image Style Transfer
In this work, we have investigated various style transfer approaches and...
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07/16/2018
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...
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06/01/2018
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...
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05/23/2018
A hybrid approach of interpolations and CNN to obtain super-resolution
We propose a novel architecture that learns an end-to-end mapping functi...
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05/23/2018
Segmentation of Liver Lesions with Reduced Complexity Deep Models
We propose a computationally efficient architecture that learns to segme...
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01/30/2017
Language Independent Single Document Image Super-Resolution using CNN for improved recognition
Recognition of document images have important applications in restoring ...
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07/23/2014
Quadratically constrained quadratic programming for classification using particle swarms and applications
Particle swarm optimization is used in several combinatorial optimizatio...
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08/30/2012
