Other articles


  1. Predicting the Presence of Cancer in Medical Images using Convolutional Neural Networks

    Paper submitted to Missouri Junior Science, Engineering, and Humanities Symposium for 2017

    Abstract:

    Convolutional neural networks model human brain activity from sensory inputs and have been applied to various activities such as driving cars, recognizing speech, and playing complex games. These machine learning algorithms gained popularity in recent years as …

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  2. Depth Image Segmentation Using Statistical Methods

    Paper presented to the Junior Science, Engineering, and Humanities Symposium at Maryville University in 2016.

    Abstract:

    This paper presents an algorithm that utilizes unsupervised machine learning methods for classifying n-objects in a spatial image. Other methods of spatial image segmentation, for example the Laplacian operator and support vector machines (SVM …

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