Vikas Singh

Variable feature weighted fuzzy k-means algorithm for high dimensional data

2019 · arXiv (Cornell University)

This paper presents a new fuzzy k-means algorithm for the clustering of high-dimensional data in various subspaces. Since high-dimensional data, some features might be irrelevant and relevant but may have different significance in the clustering …

Constrained Deep Learning using Conditional Gradient and Applications in\n Computer Vision

2018 · arXiv (Cornell University)

A number of results have recently demonstrated the benefits of incorporating\nvarious constraints when training deep architectures in vision and machine\nlearning. The advantages range from guarantees for statistical generalization\nto better accuracy to compression. But support for …