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03/15/2023
Health Monitoring of Movement Disorder Subject based on Diamond Stacked Sparse Autoencoder Ensemble Model
The health monitoring of chronic diseases is very important for people w...
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01/23/2023
Quantum Monte Carlo algorithm for solving Black-Scholes PDEs for high-dimensional option pricing in finance and its proof of overcoming the curse of dimensionality
In this paper we provide a quantum Monte Carlo algorithm to solve high-d...
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10/25/2022
A new Stack Autoencoder: Neighbouring Sample Envelope Embedded Stack Autoencoder Ensemble Model
Stack autoencoder (SAE), as a representative deep network, has unique an...
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06/25/2022
Envelope imbalanced ensemble model with deep sample learning and local-global structure consistency
The class imbalance problem is important and challenging. Ensemble appro...
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11/17/2021
Subject Enveloped Deep Sample Fuzzy Ensemble Learning Algorithm of Parkinson's Speech Data
Parkinson disease (PD)'s speech recognition is an effective way for its ...
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11/02/2021
Envelope Imbalance Learning Algorithm based on Multilayer Fuzzy C-means Clustering and Minimum Interlayer discrepancy
Imbalanced learning is important and challenging since the problem of th...
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08/23/2021
Subject Envelope based Multitype Reconstruction Algorithm of Speech Samples of Parkinson's Disease
The risk of Parkinson's disease (PD) is extremely serious, and PD speech...
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08/15/2021
A Fast Algorithm for Computing the Deficiency Number of a Mahjong Hand
The tile-based multiplayer game Mahjong is widely played in Asia and has...
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08/09/2021
FA-GAN: Fused Attentive Generative Adversarial Networks for MRI Image Super-Resolution
High-resolution magnetic resonance images can provide fine-grained anato...
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03/11/2021
Integrated Age Estimation Mechanism
Machine-learning-based age estimation has received lots of attention. Tr...
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06/20/2020
Deep Double-Side Learning Ensemble Model for Few-Shot Parkinson Speech Recognition
Diagnosis and therapeutic effect assessment of Parkinson disease based o...
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02/17/2020
Hybrid Embedded Deep Stacked Sparse Autoencoder with w_LPPD SVM Ensemble
Deep learning is a kind of feature learning method with strong nonliear ...
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02/10/2020
Classification Algorithm of Speech Data of Parkinsons Disease Based on Convolution Sparse Kernel Transfer Learning with Optimal Kernel and Parallel Sample Feature Selection
Labeled speech data from patients with Parkinsons disease (PD) are scarc...
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01/17/2020
Two-Phase Object-Based Deep Learning for Multi-temporal SAR Image Change Detection
Change detection is one of the fundamental applications of synthetic ape...
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03/05/2019
Semi-dynamic shortest-path tree algorithms for directed graphs with arbitrary weights
Given a directed graph G with arbitrary real-valued weights, the single ...
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01/02/2012