Výsledky vyhledávání - Classified Discriminative Autoencoder

Comparative analysis of autoencoder architectures for breast cancer detection using dynamic infrared thermography Autor Acar Demirci, Burcu, Engin, Mehmet, Engin, Erkan Zeki

“… Three autoencoder architectures—Vanilla Autoencoder (VanAE), Convolutional Autoencoder (CAE…”
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Novelty Detection Method Based on Global and Local Discriminative Adversarial Autoencoder Autor Xing, Hong-Jie, Hao, Zhong

“… results.The reasons lie in two aspects.One is that GAN belongs to generative models, while novelty detection models are usually classified as discriminative…”
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Noise-Robust Spoofed Speech Detection Using Discriminative Autoencoder Autor Dişken, Gökay, Tüfekci, Zekeriya

“… In this work, i-vectors are used for spoof detection, and discriminative…”
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Rejecting Unknown Gestures Based on Surface-Electromyography Using Variational Autoencoder Autor Dai, Qingfeng, Wong, Yongkang, Kankanhalli, Mohan, Li, Xiangdong, Geng, Weidong

“… In addition, the state-of-the-art generative and discriminative methods have achieved considerable performance on high-density sEMG signals…”
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Knock-Knock: Acoustic object recognition by using stacked denoising autoencoders Autor Luo, Shan, Zhu, Leqi, Althoefer, Kaspar, Liu, Hongbin

“…: features can be learned from raw sensor data without defining discriminative characteristics a-priori…”
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A Multi-View Semantic Autoencoder Algorithm for Human-Centric Text Sentiment Analysis Autor Gao, Jiangjin, Yang, Tao

“… classification for text data is a core issue to be solved in multi-view learning. In this study, a multi-view semantic autoencoder (MVSA…”
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A convolutional autoencoder model with weighted multi-scale attention modules for 3D skeleton-based action recognition Autor Khezerlou, F., Baradarani, A., Balafar, M.A.

“…The 3D skeleton sequences of action can be recognized based on series of meaningful movements including changes in the direction and geometry features of the…”
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Subject-invariant feature learning for mTBI identification using LSTM-based variational autoencoder with adversarial regularization Autor Salsabilian, Shiva, Najafizadeh, Laleh

“… in difficulties for the mTBI-identification models to generalize to data from unseen subjects. To tackle this problem, we present a long short-term memory-based adversarial variational autoencoder (LSTM-AVAE…”
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Deformable Patterned Fabric Defect Detection With Fisher Criterion-Based Deep Learning Autor Li, Yundong, Zhao, Weigang, Pan, Jiahao

“… Fabric patches are efficiently classified into defectless and defective categories by Fisher criterion-based stacked denoising autoencoders (FCSDA…”
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Adaptive Diagnosis for Transformer with Unknown Faults Based on Antenna-Augmented RFID Sensor and Deep Learning Autor Wang, Tao, Xiao, Yanxia, Li, Bing, He, Yigang

“… The faults' signals of transformer are generally featured as nonlinear, moreover, it always contains unknown faults, making it hard to extract discriminative features from the obtained signals…”
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A novel approach to coral species classification using deep learning and unsupervised feature extraction Autor Jannathul Firdous, R., Sabena, S.

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A robust classification of brain tumor disease in MRI using twin-attention based dense convolutional auto-encoder Autor Sandeep Waghere, Sandhya, Prashant Shinde, Jayashri

“…•To enhance the classification accuracy, most discriminative features are selected through two varied mechanism…”
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Stack of discriminative autoencoders for multiclass anomaly detection in endoscopy images Autor Mohebbian, Mohammad Reza, Wahid, Khan A, Babyn, Paul

“…Wireless Capsule Endoscopy (WCE) helps physicians examine the gastrointestinal (GI) tract noninvasively. There are few studies that address pathological…”
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TBI2Vec: Traumatic Brain Injury Smartphone Sensing using AutoEncoder Embeddings Autor Shelke, Sayali, Agu, Emmanuel

“…-phone sensor features encoded as autoencoder embeddings. Passive smartphone sensing of TBI enables a small medical team to monitor a large population of patients passively and detect TBI early…”
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Personal Identification Using 3D Topographic Cubes Extracted from EEG Signals by Means of Automated Feature Representation Autor Oztemel, Muhammed Esad, Soysal, Ömer Muhammet

“… The convolutional autoencoder extracts a compact and discriminative representation from the topographic data cubes that capture both spatial and temporal dynamics of neural oscillations…”
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Spatial-Adaptive Siamese Residual Network for Multi-/Hyperspectral Classification Autor He, Zhi, He, Dan

“… In the first step, the spectral dimension of the original multiband images is reduced by a stacked autoencoder and superpixels of each band are obtained by the simple linear iterative clustering…”
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Knock-Knock: Acoustic Object Recognition by using Stacked Denoising Autoencoders Autor Luo, Shan, Zhu, Leqi, Althoefer, Kaspar, Liu, Hongbin

“…: features can be learned from raw sensor data without defining discriminative characteristics a-priori…”
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Data Driven Methods for Electricity Theft Detection in Advanced Metering Infrastructure Autor Qi, Ruobin

“…The Advanced Metering Infrastructure (AMI) is a critical component of modern smart grids, collecting vast amounts of high-frequency power consumption data from…”
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Neighboring tissues as diagnostic windows: Neighborhood effects in radiomic detection of pancreatic ductal adenocarcinoma Autor Rezaeijo, Seyed Masoud, Eftekhar, Alireza, Rouhi, Saleh, Keshavarzi, Behnaz, Mohammadi, Zahra, Firouzabad, Leila Alipour, Abidi, Maryam, Ghafeli, Salimeh

“…•A novel tumor-independent method detects PDAC using radiomic features from non-tumorous tissues.•Three diagnostic approaches were evaluated; patient-level…”
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Computer-Aided Diagnostic System for Early Detection of Acute Renal Transplant Rejection Using Diffusion-Weighted MRI Autor Shehata, Mohamed, El-Baz, Ayman, Khalifa, Fahmi, Soliman, Ahmed, Ghazal, Mohammed, Taher, Fatma, El-Ghar, Mohamed Abou, Dwyer, Amy C., Gimel'farb, Georgy, Keynton, Robert S.

“…Objective: Early diagnosis of acute renal transplant rejection (ARTR) is critical for accurate treatment. Although the current gold standard, diagnostic…”
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