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20152021
most citedGeneralized K-fan Multimodal Deep Model with Shared Representations

5 citations · 5 across the 2 of their papers we have counts for

collaborators

6 papers

cs.LG2021

Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment

Zhanghexuan Ji, Mohammad Abuzar Shaikh, Dana Moukheiber +3

Self-supervised learning provides an opportunity to explore unlabeled chest X-rays and their associated free-text reports accumulated in clinical routine without manual supervision…

cs.LG2020

Ultra Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification

Tiehang Duan, Mihir Chauhan, Mohammad Abuzar Shaikh +2

The pattern of Electroencephalogram (EEG) signal differs significantly across different subjects, and poses challenge for EEG classifiers in terms of 1) effectively adapting a lear…

cs.CV2019

Explanation based Handwriting Verification

Mihir Chauhan, Mohammad Abuzar Shaikh, Sargur N. Srihari

Deep learning system have drawback that their output is not accompanied with ex-planation. In a domain such as forensic handwriting verification it is essential to provideexplanati…

cs.LG2018

Sequential Embedding Induced Text Clustering, a Non-parametric Bayesian Approach

Tiehang Duan, Qi Lou, Sargur N. Srihari +1

Current state-of-the-art nonparametric Bayesian text clustering methods model documents through multinomial distribution on bags of words. Although these methods can effectively ut…

cs.CV2018

Hybrid Feature Learning for Handwriting Verification

Mohammad Abuzar Shaikh, Mihir Chauhan, Jun Chu +1

We propose an effective Hybrid Deep Learning (HDL) architecture for the task of determining the probability that a questioned handwritten word has been written by a known writer. H…

cs.LG20155 cited

Generalized K-fan Multimodal Deep Model with Shared Representations

Gang Chen, Sargur N. Srihari

Multimodal learning with deep Boltzmann machines (DBMs) is an generative approach to fuse multimodal inputs, and can learn the shared representation via Contrastive Divergence (CD)…