Results 41 to 50 of about 515,088 (168)
Multi-Label Feature Extraction Method Relied on Feature-Label Dependence Auto-encoder
Jisuanji kexue yu tansuo, 2020 In multi-label learning, how to deal with high-dimensional features has always been one of the research difficulties. The feature extraction algorithm can effectively solve the problem of classification performance degra-dation caused by high ...
CHENG Yusheng, LI Zhiwei, PANG Shufang
doaj +1 more source
An effective dual encoder network with a feature attention large kernel for building extraction
Geocarto InternationalTransformer models boost building extraction accuracy by capturing global features from images. However, convolutional networks’ potential in local feature extraction remains underutilized in CNN + Transformer models, limiting performance.
Shaobo Qiu +3 more
doaj +1 more source
Face Feature Extraction: A Complete Review
IEEE Access, 2018 Feature extraction is vital for face recognition. In this paper, we focus on the general feature extraction framework for robust face recognition. We collect about 300 papers regarding face feature extraction. While some works apply handcrafted features,
Hongjun Wang, Jiani Hu, Weihong Deng
doaj +1 more source
On the feature extraction in discrete space [PDF]
Pattern Recognition, 2014 In many pattern recognition applications, feature space expansion is a key step for improving the performance of the classifier. In this paper, we (i) expand the discrete feature space by generating all orderings of values of k discrete attributes exhaustively, (ii) modify the well-known decision tree and rule induction classifiers (ID3, Quilan, 1986 ...
openaire +2 more sources
International Journal of Information and Communication Technology Research, 2018 A fusion method for spectral-spatial classification of hyperspectral images is proposed in this paper. In the proposed framework, at first, the dimension of hyperspectral image is reduced by several state-of-the-art spectral feature extraction methods, i.
Maryam imani, Hassan Ghassemian
doaj
Aspect-level multimodal sentiment analysis model based on multi-scale feature extraction
Scientific ReportsIn existing multimodal sentiment analysis methods, only the last layer output of BERT is typically used for feature extraction, neglecting abundant information from intermediate layers.
Bocheng Miao, Changbo Xu
doaj +1 more source
Jurnal Ilmiah SINERGI, 2020 This research discusses the detection of embryonic eggs using the k-means clustering method based on statistical feature extraction. The processes that occur in detection are image acquisition, image enhancement, feature extraction, and identification ...
Shoffan Saifullah
doaj +1 more source
SRMpose:Multi-Scale Feature Extraction Keypoint Detection Algorithm [PDF]
Jisuanji gongchengHuman keypoint detection is increasingly being applied in fields such as motion behavior recognition and human-computer interaction. Taking the case of long jump, this study proposes a multi-scale feature extraction keypoint detection algorithm to ...
DAN Chonghong, WEI Honglei, HE Zhou, WU Guanfeng
doaj +1 more source
Stochastic time–frequency-entropy feature extraction method [PDF]
AIP AdvancesEntropy-based feature extraction methods have shown marked effectiveness across various fields. However, entropy measures are susceptible to noise interference and typically consider only time-domain information, which leads to suboptimal feature ...
Yuxing Li, Jingyi Li, Qingxu Wang
doaj +1 more source
Cavitation identification based on feature extraction
Nuclear Engineering and TechnologyCavitation is a common phenomenon in centrifugal pumps and can result in severe damage to impellers and mechanical components, ultimately leading to significant economic losses.
Siyuan Hu +6 more
doaj +1 more source