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06/18/2023
Efficiently Measuring the Cognitive Ability of LLMs: An Adaptive Testing Perspective
Large language models (LLMs), like ChatGPT, have shown some human-like c...
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03/20/2023
From Sparse to Precise: A Practical Editing Approach for Intracardiac Echocardiography Segmentation
Accurate and safe catheter ablation procedures for patients with atrial ...
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02/02/2023
A sliced-Wasserstein distance-based approach for out-of-class-distribution detection
There exist growing interests in intelligent systems for numerous medica...
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07/15/2022
A Broad and General Sequential Sampling Scheme
In this paper, we propose a broad and general sequential sampling scheme...
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04/30/2022
End-to-End Signal Classification in Signed Cumulative Distribution Transform Space
This paper presents a new end-to-end signal classification method using ...
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03/06/2022
Precise Point Spread Function Estimation
Point spread function (PSF) plays a crucial role in many fields, such as...
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02/22/2022
Local Sliced-Wasserstein Feature Sets for Illumination-invariant Face Recognition
We present a new method for face recognition from digital images acquire...
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01/09/2022
Invariance encoding in sliced-Wasserstein space for image classification with limited training data
Deep convolutional neural networks (CNNs) are broadly considered to be s...
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04/15/2021