Results 21 to 30 of about 510,572 (297)
IEEE Access, 2019 Neuroimaging techniques have been used for automatic diagnosis and classification of Alzheimer's disease and mild cognitive impairment. How to select discriminant features from these data is the key that will affect the subsequent automatic diagnosis and
Lina Xu +5 more
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Feature Learning Viewpoint of Adaboost and a New Algorithm
IEEE Access, 2019 The AdaBoost algorithm has the superiority of resisting overfitting. Understanding the mysteries of this phenomenon is a very fascinating fundamental theoretical problem.
Fei Wang +5 more
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Energies, 2017 The process of modernizing smart grid prominently increases the complexity and uncertainty in scheduling and operation of power systems, and, in order to develop a more reliable, flexible, efficient and resilient grid, electrical load forecasting is not ...
Yunxuan Dong +3 more
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IEEE Access, 2020 The deep belief network is widely used in fault diagnosis and health management of rotating machinery. However, on the one hand, deep belief networks only tend to focus on the global information of bearing vibration, ignoring local information.
Chao Zhang +5 more
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Chronos Journal, 2020 This article is about home schooling. The article will be interesting for both teachers and parents. The main provisions of the term “home schooling” were highlighted in this acticle, positive and negative traits were identified, as well as possible difficulties.
A.B. Bratchikova +2 more
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A Low-Light Sensor Image Enhancement Algorithm Based on HSI Color Model
Sensors, 2018 Images captured by sensors in unpleasant environment like low illumination condition are usually degraded, which means low visibility, low brightness, and low contrast.
Shiping Ma +5 more
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Multi-branch feature learning based speech emotion recognition using SCAR-NET
Connection Science, 2023 Speech emotion recognition (SER) is an active research area in affective computing. Recognizing emotions from speech signals helps to assess human behaviour, which has promising applications in the area of human-computer interaction.
Keji Mao +5 more
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Faithful Contrastive Features in Learning [PDF]
Cognitive Science, 2006 AbstractThis article pursues the idea of inferring aspects of phonological underlying forms directly from surface contrasts by looking at optimality theoretic linguistic systems (Prince & Smolensky, 1993/2004). The main result proves that linguistic systems satisfying certain conditions have the faithful contrastive feature property: Whenever 2 ...
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IEEE Access, 2018 Hyperspectral remote sensing sensors can provide plenty of valuable information with hundreds of spectral bands at each pixel. Feature selection and spectral-spatial information play an important role in the field of hyperspectral image (HSI ...
Lishuan Hu +3 more
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Deep Learning Based Weighted Feature Fusion Approach for Sentiment Analysis
IEEE Access, 2019 Deep learning algorithms have achieved remarkable results in the natural language processing(NLP) and computer vision. Hence, a trend still going on to use these algorithms, such as convolution and recurrent neural networks, for text analytic task to ...
Mohd Usama +5 more
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