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09/15/2023
A Unified View Between Tensor Hypergraph Neural Networks And Signal Denoising
Hypergraph Neural networks (HyperGNNs) and hypergraph signal denoising (...
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08/25/2023
Exploiting Diverse Feature for Multimodal Sentiment Analysis
In this paper, we present our solution to the MuSe-Personalisation sub-c...
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08/15/2023
Dual-path TokenLearner for Remote Photoplethysmography-based Physiological Measurement with Facial Videos
Remote photoplethysmography (rPPG) based physiological measurement is an...
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01/13/2023
Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior
Medical images are generally acquired with limited field-of-view (FOV), ...
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12/15/2022
Two-stage Contextual Transformer-based Convolutional Neural Network for Airway Extraction from CT Images
Accurate airway extraction from computed tomography (CT) images is a cri...
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08/16/2022
Resource-aware Federated Learning using Knowledge Extraction and Multi-model Fusion
With increasing concern about user data privacy, federated learning (FL)...
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07/02/2022
Golfer: Trajectory Prediction with Masked Goal Conditioning MnM Network
Transformers have enabled breakthroughs in NLP and computer vision, and ...
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01/13/2022
A Geometric Approach to k-means
k-means clustering is a fundamental problem in various disciplines. This...
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05/02/2021
Variable selection for longitudinal survey data
In this article we propose a new variable selection method for analyzing...
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02/16/2020
Structures of Spurious Local Minima in k-means
k-means clustering is a fundamental problem in unsupervised learning. Th...
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06/16/2019
Global Convergence of Least Squares EM for Demixing Two Log-Concave Densities
This work studies the location estimation problem for a mixture of two r...
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11/26/2018
Tweedie Gradient Boosting for Extremely Unbalanced Zero-inflated Data
Tweedie's compound Poisson model is a popular method to model insurance ...
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07/10/2017