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Convolutional Neural Networks in Multi-Class Classification of Medical Data
We report applications of Convolutional Neural Networks (CNN) to multi-c...
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Image Pre-processing on NumtaDB for Bengali Handwritten Digit Recognition
NumtaDB is by far the largest data-set collection for handwritten digits...
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A Novel Chaos Theory Inspired Neuronal Architecture
The practical success of widely used machine learning (ML) and deep lear...
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The TrojAI Software Framework: An OpenSource tool for Embedding Trojans into Deep Learning Models
In this paper, we introduce the TrojAI software framework, an open sourc...
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Symbolic Execution for Deep Neural Networks
Deep Neural Networks (DNN) are increasingly used in a variety of applica...
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Bilinear Models for Machine Learning
In this work we define and analyze the bilinear models which replace the...
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S^2-LBI: Stochastic Split Linearized Bregman Iterations for Parsimonious Deep Learning
This paper proposes a novel Stochastic Split Linearized Bregman Iteratio...
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Tamil Vowel Recognition With Augmented MNIST-like Data Set
We report generation of a MNIST [4] compatible data set [1] for Tamil vowels to enable building a classification DNN or other such ML/AI deep learning [2] models for Tamil OCR/Handwriting applications. We report the capability of the 60,000 grayscale, 28x28 pixel dataset to build a 92 82 also report a top-1 classification accuracy of 70 accuracy of 92
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