Now showing items 1-6 of 6
Investigating rhythmic accuracy using 3D spatial interaction for digital musical input : MoveMIDI.
Many human-computer interfaces exist which allow users to interact with music software to create and perform music. Some interfaces allow users to interact using movements of their body to create music. This thesis describes ...
On the performance of convolutional neural networks initialized with Gabor filters.
Over the years, image recognition has been gaining popularity due to its various possible usages. Convolutional Neural Networks (CNNs) have been the classic approach taken on by many researchers because of their capability ...
Optimizing k-means clustering using mini-batches and distance bounds.
Clustering is a crucial branch of machine learning that groups the input data into different clusters based on the features of the data without the training label. K-means clustering is a widely used iterative clustering ...
Static analysis-based software architecture reconstruction and its applications in microservices.
Microservice architecture (MSA) is the predominant building block of modern cloud-based enterprise applications. MSA has several advantages over monolithic applications like scalability and maintainability, but it comes ...
Tyro : a first step towards automatically generating parallel programs from sequential programs.
Currently, MapReduce is used as the standard for automatic parallelization of programs. However, MapReduce restricts programs to a simple framework with limited parallelism but still requires the user to understand parallelism ...
Unsupervised representational learning of hierarchical graphs with graph convolutional networks.
Interpretation of functional genomic data attempts to correlate gene and protein expression with phenotype. While direct analysis of gene relationships associated with phenotype manifestation provides reasonable correlations, ...