Search Results - feature-embedded stacked sparse autoencoder

Hybrid Feature Embedded Sparse Stacked Autoencoder and Manifold Dimensionality Reduction Ensemble for Mental Health Speech Recognition by Chen, Hong, Lin, Yuan, Li, Yongming, Wang, Wei, Wang, Pin, Lei, Yan

“… This paper proposes an embedded hybrid feature deep sparse stacked autoencoder ensemble method to solve this problem…”
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Sample-Pair Envelope Diamond Autoencoder Ensemble Algorithm for Chronic Disease Recognition by Zhang, Yi, Ma, Jie, Qin, Xiaolin, Li, Yongming, Zhang, Zuwei

“… Furthermore, existing feature-learning methods do not deal with this problem well. To address the above issues, a sample-pair envelope diamond autoencoder ensemble algorithm (SP_DFsaeLA) is proposed…”
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Psychosis speech recognition algorithm based on deep embedded sparse stacked autoencoder and manifold ensemble by Zhang, Yi, Qin, Xiaolin, Lin, Yuan, Li, Yongming, Wang, Pin, Zhang, Zuwei, Li, Xiaofei

“… To solve this problem, this paper proposes a deep embedded hybrid feature sparse stack autoencoder manifold ensemble algorithm…”
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Health Monitoring of Movement Disorder Subject based on Diamond Stacked Sparse Autoencoder Ensemble Model by Tang, Likun, Ma, Jie, Li, Yongming

“… To solve this problem, a health monitoring of movement disorder subject based on diamond stacked sparse autoencoder ensemble model (DsaeEM…”
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Hybrid Embedded Deep Stacked Sparse Autoencoder with w_LPPD SVM Ensemble by Li, Yongming, Yan, Lei, Wang, Pin, Liu, Yuchuan

“… Besides, it suffers from small sample problem. In order to solve these problems, a novel deep autoencoder - hybrid feature embedded stacked sparse autoencoder(HESSAE…”
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Embedded stacked group sparse autoencoder ensemble with L1 regularization and manifold reduction by Li, Yongming, Lei, Yan, Wang, Pin, Jiang, Mingfeng, Liu, Yuchuan

“… To solve the problem, this paper proposes an embedded stacked group sparse autoencoder (ESGSAE) for more effective feature learning…”
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