1 code implementation • 28 Dec 2021 • Tiehang Duan, Zhenyi Wang, Sheng Liu, Sargur N. Srihari, Hui Yang
In this work, we proposed an uncertainty estimation and reduction model (UNCER) to quantify and mitigate the uncertainty during the EEG decoding process.
1 code implementation • 5 May 2021 • Soumyya Kanti Datta, Mohammad Abuzar Shaikh, Sargur N. Srihari, Mingchen Gao
Soft-Attention mechanism enables a neural network toachieve this goal.
Ranked #1 on Lesion Classification on ISIC 2017
1 code implementation • 14 Aug 2019 • Mihir Chauhan, Mohammad Abuzar Shaikh, Sargur N. Srihari
The dataset is released for publicuse and the methods can be extended to provide explanations on other verification taskslike face verification and bio-medical comparison.
Explainable Artificial Intelligence (XAI) Face Verification +1
no code implementations • 29 Nov 2018 • Tiehang Duan, Qi Lou, Sargur N. Srihari, Xiaohui Xie
In this paper, the documents are modeled as the joint of bags of words, sequential features and word embeddings.
1 code implementation • 4 Dec 2016 • Gang Chen, Yawei Li, Sargur N. Srihari
Our model is a 3-pathway deep architecture with a hidden-layer representation which is shared by multi-inputs and outputs, and each branch can be composed of a multi-layer deep model.
1 code implementation • 4 Dec 2016 • Gang Chen, Yawei Li, Sargur N. Srihari
On the other hand, word recognition is a sequential problem where we need to model the correlation between characters.
no code implementations • 26 Mar 2015 • Gang Chen, Sargur N. Srihari
In this paper, we propose a K-fan deep structure model, which can handle the multi-input and muti-output learning problems effectively.