A set of features independent of character stroke direction and order
va...
Building an automatic speech recognition (ASR) system from scratch requi...
The recent advances in the field of deep learning have not been fully
ut...
This paper proposes a novel approach that uses deep neural networks for
...
This work proposes improvements in the electroencephalogram (EEG) record...
In this work, we have proposed several enhancements to improve the
perfo...
There is a need for information retrieval from large collections of
low-...
We propose a new feature, namely, pitchsynchronous discrete cosine trans...
In this work, we propose the use of dropout as a Bayesian estimator for
...
With the recent advancement in the deep learning technologies such as CN...
In this work, we have investigated various style transfer approaches and...
Subjective and objective experiments are conducted to understand the ext...
In this work, we propose the use of dropouts as a Bayesian estimator for...
We propose a novel architecture that learns an end-to-end mapping functi...
We propose a computationally efficient architecture that learns to segme...
Recognition of document images have important applications in restoring ...
Particle swarm optimization is used in several combinatorial optimizatio...
We have benchmarked the maximum obtainable recognition accuracy on vario...