An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network

no code implementations • 5 Apr 2021 • Anh Nguyen, Khoa Pham, Dat Ngo, Thanh Ngo, Lam Pham

This paper provides an analysis of state-of-the-art activation functions with respect to supervised classification of deep neural network.

Acoustic Scene Classification Classification +2

Binomial Tails for Community Analysis

no code implementations • 17 Dec 2020 • Omid Madani, Thanh Ngo, Weifei Zeng, Sai Ankith Averine, Sasidhar Evuru, Varun Malhotra, Shashidhar Gandham, Navindra Yadav

The binomial tail is simple and versatile, and we describe two other applications for community analysis: degree of community membership (which in turn yields group-scoring functions), and the discovery of significant edges in the community-induced graph.

Scaled Gradients on Grassmann Manifolds for Matrix Completion

no code implementations • NeurIPS 2012 • Thanh Ngo, Yousef Saad

This paper describes gradient methods based on a scaled metric on the Grassmann manifold for low-rank matrix completion.

Low-Rank Matrix Completion