276 citations · 714 across the 20 of their papers we have counts for
4 papers · 1 filter
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications
Hyunseok Seo, Masoud Badiei Khuzani, Varun Vasudevan +5
In recent years, significant progress has been made in developing more accurate and efficient machine learning algorithms for segmentation of medical and natural images. In this re…
A Mean-Field Theory for Kernel Alignment with Random Features in Generative and Discriminative Models
Masoud Badiei Khuzani, Liyue Shen, Shahin Shahrampour +1
We propose a novel supervised learning method to optimize the kernel in the maximum mean discrepancy generative adversarial networks (MMD GANs), and the kernel support vector machi…
On Sample Complexity of Projection-Free Primal-Dual Methods for Learning Mixture Policies in Markov Decision Processes
Masoud Badiei Khuzani, Varun Vasudevan, Hongyi Ren +1
We study the problem of learning policy of an infinite-horizon, discounted cost, Markov decision process (MDP) with a large number of states. We compute the actions of a policy tha…
A Distributionally Robust Optimization Method for Adversarial Multiple Kernel Learning
Masoud Badiei Khuzani, Hongyi Ren, Md Tauhidul Islam +1
We propose a novel data-driven method to learn a mixture of multiple kernels with random features that is certifiabaly robust against adverserial inputs. Specifically, we consider…