Results 271 to 280 of about 141,408 (322)

Mining Structural Information from Gas Chromatography-Electron-Impact Ionization-Mass Spectrometry Data for Analytical-Descriptor-Based Quantitative Structure-Activity Relationship. [PDF]

J Xenobiot
Zushi Y.
europepmc   +1 more source

Deep spectrotemporal network based depression severity estimation from speech. [PDF]

Sci Rep
Jabbar I, Uddin MA, Joolee JB, Nasridinov A.   +3 more
europepmc   +1 more source

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MULTITASK FEATURE SELECTION WITH TASK DESCRIPTORS

Biocomputing 2016, 2015
Machine learning applications in precision medicine are severely limited by the scarcity of data to learn from. Indeed, training data often contains many more features than samples. To alleviate the resulting statistical issues, the multitask learning framework proposes to learn different but related tasks jointly, rather than independently, by sharing
Víctor, Bellón, Véronique, Stoven, Chloé-Agathe, Azencott   +2 more
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Harris feature vector descriptor

2010 International Conference on Machine Learning and Cybernetics, 2010
This paper defines a new image feature called Harris feature vector, which is able to describe the image gradient distribution in an effective way. By computing the mean and the standard deviation of the Harris feature vector in a local image region, novel descriptors are constructed for feature matching which are invariable to image rigid ...
Xu-Guang Wang, Jie Su, Hai-Yan Cheng
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Convolutional Feature Descriptor Selection for Mammogram Classification

IEEE Journal of Biomedical and Health Informatics, 2023
Breast cancer was the most commonly diagnosed cancer among women worldwide in 2020. Recently, several deep learning-based classification approaches have been proposed to screen breast cancer in mammograms. However, most of these approaches require additional detection or segmentation annotations.
Dong Li, Lei Zhang, Jianwei Zhang, Xingyu Xie   +3 more
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Feature Descriptors for Face Recognition

2020 IEEE 17th India Council International Conference (INDICON), 2020
Human face has lot of information about identity as well as emotional status of the individual. Face recognition for authentication purpose is a challenging as well as an interesting problem. These problems have great impacts on crucial applications in several areas like identification, banking, law enforcement, security system access, and personal ...
Puja S Prasad, Vinit Kumar Gunjan
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Harris feature vector descriptor (HFVD)

2008 19th International Conference on Pattern Recognition, 2008
A new image feature called Harris feature vector is defined in this paper, which effectively describes the image gradient distribution. By computing the mean and the standard deviation of the Harris feature vector in key point neighborhood, a novel descriptor for key points matching is constructed, which is invariant to image rigid transformation and ...
X. G. Wang, F. C. Wu, Z. H. Wang
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Robust synthetic basis feature descriptor

2017 IEEE International Conference on Image Processing (ICIP), 2017
Feature detection and matching is an important step in many object detection and tracking algorithms. This paper discusses methods to improve upon our previous work on the SYnthetic BAsis feature descriptor (SYBA) algorithm, which describes and compares image features in an efficient and discrete manner. SYBA utilizes synthetic basis images overlaid on
Lindsey Raven, Dah-Jye Lee, Alok Desai
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Binary Feature Descriptor for Omnidirectional Images Processing

Proceedings of the International Conference on Intelligent Information Processing, Security and Advanced Communication, 2015
An omnidirectional image has a 360° view around a viewpoint and which could be applied in a variety of fields, such as autonomous navigation, surveillance systems, virtual reality and remote monitoring, is presented. Many techniques of digital image processing rely on local descriptors to characterize the scene information around interest points (or ...
Benseddik, Houssem-Eddine, Hadj-Abdelkader, Hicham, Brahim, Cherki, Djekoune, A. Oualid   +3 more
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A novel biologically inspired local feature descriptor

Biological Cybernetics, 2014
Local feature descriptor is a fundamental representation for image patch which has been extensively used in many computer vision applications. In this paper, different from state-of-the-art features, a novel biologically inspired local descriptor (BILD) is proposed based on the visual information processing mechanism of ventral pathway in human brain ...
Yun, Zhang, Tian, Tian, Jinwen, Tian, Junbin, Gong, Delie, Ming   +4 more
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