Suchergebnisse - "sparse coding features"

Video-based facial expression recognition using learned spatiotemporal pyramid sparse coding features

Autoren: Marian Stewart Bartlett Fei Long

Quelle: Neurocomputing. 173:2049-2054

Schlagwörter: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://dblp.uni-trier.de/db/journals/ijon/ijon173.html#LongB16
http://www.sciencedirect.com/science/article/pii/S0925231215013570
https://www.sciencedirect.com/science/article/pii/S0925231215013570
https://dl.acm.org/doi/10.1016/j.neucom.2015.09.049
https://www.infona.pl/resource/bwmeta1.element.elsevier-765f19a5-5ae8-3b14-b30b-766fb1f9158f

基于稀疏编码特征的场景文本识别方法研究 ; Research of Scene Text Recognition Based on Sparse Coding Features

Autoren: 章冬 王菡子

Weitere Verfasser: 章冬 王菡子

Quelle: http://210.34.4.13:8080/lunwen/detail.asp?serial=50378.

Schlagwörter: 场景文本识别, 特征表示, 稀疏编码, 稀疏编码直方图特征, Scene text recognition, feature representation, sparse coding, HSC

Relation: http://210.34.4.28/opac/openlink.php?strText=50214&doctype=ALL&strSearchType=callno; http://dspace.xmu.edu.cn/handle/2288/134836

Verfügbarkeit: http://dspace.xmu.edu.cn/handle/2288/134836

Symmetric nonnegative matrix factorization with elastic-net regularized block-wise weighted representation for clustering.

Autoren: Rodríguez-Domínguez, Ulises Dalmau, Oscar

Quelle: Pattern Analysis & Applications; Nov2022, Vol. 25 Issue 4, p807-817, 11p

Schlagwörter: MATRIX decomposition, NONNEGATIVE matrices, SYMMETRIC matrices

A Fast Sparse Coding Method for Image Classification.

Autoren: Zang, Mujun Wen, Dunwei Liu, Tong et al.

Quelle: Applied Sciences (2076-3417); Feb2019, Vol. 9 Issue 3, p505, 10p

Schlagwörter: VIDEO coding, COMPUTER vision, COMPUTATIONAL complexity, CLASSIFICATION

End-to-End Fine-Grained Action Segmentation and Recognition Using Conditional Random Field Models and Discriminative Sparse Coding

Autoren: Mavroudi, Effrosyni Bhaskara, Divya Sefati, Shahin et al.

Index Begriffe: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/1801.09571

Cardiac abnormalities from 12‐Lead ECG signals prediction based on deep convolutional neural network optimized with nomadic people optimization algorithm.

Autoren: Sonia, S. V. Evangelin Nedunchezhian, R. Rajalakshmi, M.

Quelle: International Journal of Adaptive Control & Signal Processing; Apr2024, Vol. 38 Issue 4, p1136-1152, 17p

Schlagwörter: ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, DEEP learning, OPTIMIZATION algorithms, FEATURE selection, ELECTROCARDIOGRAPHY, SPINE

Combining sparse coding and time-domain features for heart sound classification.

Autoren: Bradley M Whitaker Pradyumna B Suresha Chengyu Liu et al.

Quelle: Physiological Measurement; Aug2017, Vol. 38 Issue 8, p1-1, 1p

Schlagwörter: HEART sounds, HEART beat, CARDIAC imaging, SUPPORT vector machines, SPARSE matrices

基于稀疏编码金字塔模型的农田害虫图像识别.

Alternate Title: Recognition for insects via spatial pyramid model using sparse coding.

Autoren: 谢成军 李瑞 董伟 et al.

Quelle: Transactions of the Chinese Society of Agricultural Engineering. Sep2016, Vol. 32 Issue 17, p144-151. 8p.

A Survey on Various Deep Learning Algorithms for an Efficient Facial Expression Recognition System.

Autoren: Banerjee, Rudranath De, Sourav Dey, Shouvik

Quelle: International Journal of Image & Graphics; May2023, Vol. 23 Issue 3, p1-26, 26p

Schlagwörter: MACHINE learning, HUMAN facial recognition software, DEEP learning, ARTIFICIAL intelligence, COMPUTER vision, FACIAL expression

A Skin Cancer Classification Method Based on Discrete Wavelet Down-Sampling Feature Reconstruction.

Autoren: Wu, Qing-e Yu, Yao Zhang, Xinyang

Quelle: Electronics (2079-9292); May2023, Vol. 12 Issue 9, p2103, 13p

Schlagwörter: TUMOR classification, SKIN cancer, MELANOMA diagnosis, IMAGE recognition (Computer vision), MULTICHANNEL communication, CANCER diagnosis

Time–frequency audio feature extraction based on tensor representation of sparse coding.

Autoren: Zhang, Xue‐Yuan He, Qian‐Hua

Quelle: Electronics Letters (Wiley-Blackwell). Jan2015, Vol. 51 Issue 2, p131-132. 2p.

Facial emotion recognition based real-time learner engagement detection system in online learning context using deep learning models.

Autoren: Gupta, Swadha Kumar, Parteek Tekchandani, Raj Kumar

Quelle: Multimedia Tools & Applications; Mar2023, Vol. 82 Issue 8, p11365-11394, 30p

Schlagwörter: DEEP learning, EMOTION recognition, ONLINE education, STUDENT engagement, FACIAL expression & emotions (Psychology), INSTRUCTIONAL systems

A state-of-the-art survey of object detection techniques in microorganism image analysis: from classical methods to deep learning approaches.

Autoren: Ma, Pingli Li, Chen Rahaman, Md Mamunur et al.

Quelle: Artificial Intelligence Review; Feb2023, Vol. 56 Issue 2, p1627-1698, 72p

Schlagwörter: DEEP learning, OBJECT recognition (Computer vision), DETECTION of microorganisms, IMAGE analysis, IMAGE processing, MACHINE learning

Review: Single attribute and multi attribute facial gender and age estimation.

Autoren: Gupta, Sandeep Kumar Nain, Neeta

Quelle: Multimedia Tools & Applications; Jan2023, Vol. 82 Issue 1, p1289-1311, 23p

Schlagwörter: DEEP learning, HUMAN-computer interaction, IMAGE retrieval, CONSUMER profiling, AGE, IMAGING systems

Time-frequency audio feature extraction based on tensor representation of sparse coding.

Autoren: Xue-Yuan Zhang Qian-Hua He

Quelle: Electronics Letters (Wiley-Blackwell); 1/22/2015, Vol. 51 Issue 2, p131-132, 2p, 1 Diagram, 1 Chart, 1 Graph

Schlagwörter: FEATURE extraction, GABOR transforms, TENSOR algebra, CODING theory, TIME-frequency analysis

Dynamic FERNet: Deep learning with optimal feature selection for face expression recognition in video.

Autoren: Jagadeesh, M. Baranidharan, B.

Quelle: Concurrency & Computation: Practice & Experience; Dec2022, Vol. 34 Issue 28, p1-22, 22p

Schlagwörter: DEEP learning, FEATURE selection, FACE, RECURRENT neural networks, EMOTION recognition, FEATURE extraction, EXTRACTION techniques

Semantic and context features integration for robust object tracking.

Autoren: Yao, Jinzhen Zhang, Jianlin Wang, Zhixing et al.

Quelle: IET Image Processing (Wiley-Blackwell); Apr2022, Vol. 16 Issue 5, p1268-1279, 12p

Schlagwörter: SEMANTICS, ARTIFICIAL neural networks, TRACKING control systems, ACCURACY, REGRESSION analysis

An Effective Combination of Textures and Wavelet Features for Facial Expression Recognition.

Autoren: Hassan, Syed Muhammad Hafeez, Abdul Hussain, Imtiaz et al.

Quelle: Engineering, Technology & Applied Science Research; Jun2021, Vol. 11 Issue 3, p7172-7176, 5p

Schlagwörter: FACIAL expression, FEATURE extraction, EXTRACTION techniques, RANDOM forest algorithms, ALGORITHMS, DECISION trees

A new approach for the detection of abnormal heart sound signals using TQWT, VMD and neural networks.

Autoren: Zeng, Wei Yuan, Jian Yuan, Chengzhi et al.

Quelle: Artificial Intelligence Review; Mar2021, Vol. 54 Issue 3, p1613-1647, 35p

Schlagwörter: HEART murmurs, HEART valve diseases, HEART sounds, PHASE space, CONGESTIVE heart failure

Improving multi-view facial expression recognition through two novel texture-based feature representations.

Autoren: Wang, Xuejian Fairhurst, Michael C. Canuto, Anne M.P.

Quelle: Intelligent Data Analysis; 2020, Vol. 24 Issue 6, p1455-1476, 22p

Schlagwörter: FACIAL expression, COMPUTERS, COMPUTER systems, POSE estimation (Computer vision)