Search Results for author:
Found 7 papers, 5 papers with code
Uncertainty Detection and Reduction in Neural Decoding of EEG Signals
In this work, we proposed an uncertainty estimation and reduction model (UNCER) to quantify and mitigate the uncertainty during the EEG decoding process.
Soft-Attention Improves Skin Cancer Classification Performance
Soft-Attention mechanism enables a neural network toachieve this goal.
Ranked #1 on
Lesion Classification
on ISIC 2017
Explanation based Handwriting Verification
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
Sequential Embedding Induced Text Clustering, a Non-parametric Bayesian Approach
In this paper, the documents are modeled as the joint of bags of words, sequential features and word embeddings.
Joint Visual Denoising and Classification using Deep Learning
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.
Word Recognition with Deep Conditional Random Fields
On the other hand, word recognition is a sequential problem where we need to model the correlation between characters.
Generalized K-fan Multimodal Deep Model with Shared Representations
In this paper, we propose a K-fan deep structure model, which can handle the multi-input and muti-output learning problems effectively.
