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2015 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 53

2015 IEEE Transactions on Geoscience and Remote Sensing  
., +, TGRS Nov. 2015 6223-6240 Spectral-Spatial Classification for Hyperspectral Data Using Rotation Forests With Local Feature Extraction and Markov Random Fields.  ...  ., +, TGRS Jan. 2015 405-415 Spectral-Spatial Classification for Hyperspectral Data Using Rotation Forests With Local Feature Extraction and Markov Random Fields.  ... 
doi:10.1109/tgrs.2015.2513444 fatcat:zuklkpk4gjdxjegoym5oagotzq

2021 Index IEEE Transactions on Image Processing Vol. 30

2021 IEEE Transactions on Image Processing  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TIP 2021 5138-5153 Gradient-Based Feature Extraction From Raw Bayer Pattern Images.  ...  Local Superpatch-Based Algorithm Exploiting Low Rank Prior for Restoration of Hyperspectral Images.  ... 
doi:10.1109/tip.2022.3142569 fatcat:z26yhwuecbgrnb2czhwjlf73qu

Image splicing detection with local illumination estimation

Yu Fan, Philippe Carre, Christine Fernandez-Maloigne
2015 2015 IEEE International Conference on Image Processing (ICIP)  
Extraction & Classification Sparse Recovery Hyperspectral Imaging 16:00 Break (2000 BCD) 16:30 Detection & Classification Indexing & Retrieval Biometric Applications Optical Flow  ...  I 12:30 Lunch 14:00 Machine Learning for Image Segmentation Video Analysis Object Recognition I Object Recognition II Hystocytological Feature Extraction & Classification  ...  Computationally efficient depth image features and inertial signals features are fed into two computationally efficient collaborative representative classifiers .  ... 
doi:10.1109/icip.2015.7351341 dblp:conf/icip/FanCF15 fatcat:7ja5gjnp5rafvedc2nman7xcru

Principal Component Analysis: A Natural Approach to Data Exploration [article]

Felipe L. Gewers, Gustavo R. Ferreira, Henrique F. de Arruda, Filipi N. Silva, Cesar H. Comin, Diego R. Amancio, Luciano da F. Costa
2018 arXiv   pre-print
Principal component analysis (PCA) is often used for analyzing data in the most diverse areas. In this work, we report an integrated approach to several theoretical and practical aspects of PCA.  ...  An experimental investigation of the ability of PCA for variance explanation and dimensionality reduction is also developed, which confirms the efficacy of PCA and also shows that standardizing or not  ...  This class of descriptors is obtained by finding points of interest in the images, resulting in a local set of descriptors for each image.  ... 
arXiv:1804.02502v2 fatcat:wdmatxsjcvf2hjy3bktx7s566m

2020 Index IEEE Transactions on Industrial Informatics Vol. 16

2020 IEEE Transactions on Industrial Informatics  
Forests-Based Model for Ultra-Short-Term Prediction of PV Characteristics; TII Jan. 2020 202-214 Imran, A., see Hussain, B., TII Aug. 2020 4986-4996 Imran, M., see Fu, S., TII Sept. 2020 6013-6022  ...  on Intelligent Clustering in Local Area Industrial IoT Systems; TII June 2020 3697-3707 Jia, S., see Chen, C., 1873-1884 Jia, W., see Wang, T., 2054-2062 Jia, W., see Lian, J., 1343-1351 Jia, W., see  ...  Compensation Method for Molten Iron Temperature Measurement Based on Heterogeneous Features of Infrared Thermal Images.  ... 
doi:10.1109/tii.2021.3053362 fatcat:blfvdtsc3fdstnk6qoaazskd3i

2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70

2021 IEEE Transactions on Instrumentation and Measurement  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  Article numbers are based on specified topic areas and corresponding codes associated with the publication.  ...  Extraction via Joint Adaptive Structure Density for Hyperspectral Imagery Classification; TIM 2021 5006916 Tu, B., Liao, X., Zhou, C., Chen, S., and He, W., Feature Extraction Using Multitask Superpixel  ... 
doi:10.1109/tim.2022.3156705 fatcat:dmqderzenrcopoyipv3v4vh4ry

Track I

2014 Biomedical Engineering  
This work gives strong indication that ESNs are able to work even with raw image patches directly and do not necessarily require image pre-processing, or feature extraction prior to classification.  ...  The inter-observer variability in cellularity estimation may be reduced by employing supervised machine learning methods on digital histopathological images.  ...  Christoph Meißner for providing access to the brain samples, and for forensic advice.  ... 
doi:10.1515/bmt-2014-5008 pmid:25385893 fatcat:4o7vqkhdmfgk5fjzqpeh74x5te

Application of ultraviolet, visible, and infrared light imaging in protein-based biopharmaceutical formulation characterization and development studies

Marieke E. Klijn, Jürgen Hubbuch
2021 European journal of pharmaceutics and biopharmaceutics  
The main body of this review consists of an outline of UV, Vis, and IR imaging techniques for several (bio)physical properties that are commonly determined during protein-based biopharmaceutical formulation  ...  This review offers a comprehensive overview of analytical imaging for scientists active in biopharmaceutical formulation research and development, where it presents the unique information provided by the  ...  Here, imaging-based features are extracted that quantify the information in the image. For example, this involves information extraction on lines, objects, or texture.  ... 
doi:10.1016/j.ejpb.2021.05.013 pmid:34052429 fatcat:gz4sf26q65bt7e7n6hvjulhuve

Electrochemistry and Optical Microscopy [article]

Frederic Kanoufi
2021 arXiv   pre-print
They offer promising alternative strategies for quantitative high-resolution imaging of electrochemistry.  ...  Then the different optical microscopes used to image electrochemical processes are examined along with some strategies to extract quantitative electrochemical information from optical images.  ...  Figure 10 . 10 (Top) Extracting quantitative information from optical images: background, noise, localization, 1D or 2D PSFs.  ... 
arXiv:2109.12322v1 fatcat:egbn6fm3lneebonb67lmmpkv2e

Modelling the dynamic pattern of surface area in basketball and its effects on team performance

Rodolfo Metulini, Marica Manisera, Paola Zuccolotto
2018 Journal of Quantitative Analysis in Sports (JQAS)  
We will introduce a new stump-based ensemble method for classification which is: A forest of stumps 'Gini-Sampled Splits'.  ...  tool for classification based on dissimilarities or distances, is introduced.  ... 
doi:10.1515/jqas-2018-0041 fatcat:b3qwsi7tqjg2vdo7gbjtiorv6m

Introduction to Semi-discrete Calculus [article]

Amir Shachar
2022 arXiv   pre-print
This work shows that scientists, engineers, mathematicians, and teachers increasingly apply another change measurements tool: functions' local trends.  ...  While it seems to be a special case of the rate (via the derivative sign), this work proposes a separate and favorable mathematical framework for the trend, called Semi-discrete Calculus.  ...  In a study of minimum spanning forest-based method for noninvasive cancer detection with hyperspectral imaging, [768] applies the derivative sign difference (DSD) to calculate the number of times the  ... 
arXiv:1012.5751v8 fatcat:jmezjckexbhordebtjyl6r3w4y

Cost-to-Go Function Approximation [chapter]

2017 Encyclopedia of Machine Learning and Data Mining  
Acknowledgements Sanjay Jain was supported in part by NUS grant numbers C252-000-087-001, R146-000- Synonyms Separate-and-conquer learning Method Most covering algorithms operate in a concept learning  ...  Adaptations to the multi-class case are typically performed via class binarization, learning different rule sets for binary problems.  ...  Constrained clustering algorithms have now been applied to a rich variety of domain areas, including hyperspectral image analysis, road lane divisions from GPS data, gene expression microarray analysis  ... 
doi:10.1007/978-1-4899-7687-1_100093 fatcat:vse7ncdqs5atlosjhz7fhlj3im

2021 Index IEEE Transactions on Industrial Electronics Vol. 68

2021 IEEE transactions on industrial electronics (1982. Print)  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TIE June 2021 4576-4585 Feature extraction 2-Entity Random Sample Consensus for Robust Visual Localization: Frame-work, Methods, and Verifications.  ...  ., +, TIE March 2021 2554-2563 Switch Open-Circuit Fault Localization Strategy for MMCs Using Sliding-Time Window Based Features Extraction Algorithm.  ... 
doi:10.1109/tie.2021.3130363 fatcat:5ahkwd5l4fgnvcveiyso6oc6vy

Guidance on technical requirements for regulated food and feed product applications to establish the presence of small particles including nanoparticles

EFSA Scientific Committee, Simon More, Vasileios Bampidis, Diane Benford, Claude Bragard, Thorhallur Halldorsson, Antonio Hernández‐Jerez, Susanne Hougaard Bennekou, Kostas Koutsoumanis, Claude Lambré, Kyriaki Machera, Hanspeter Naegeli (+19 others)
2021 EFSA Journal  
In addition, in order to guide the appraisal of existing safety studies, recommendations for closing the data gaps while minimising the need for conducting new animal studies are provided.  ...  Following a mandate from the European Commission, EFSA has developed a Guidance on Technical Requirements (Guidance on Particle-TR), defining the criteria for assessing the presence of a fraction of small  ...  Appendix B summarises the information to be extracted and reported by the applicant for each existing study based on the current OECD test guidelines.  ... 
doi:10.2903/j.efsa.2021.6769 fatcat:td3us557unezhhqxoxkujkhwui

Proceedings of the 10th International Conference on Ecological Informatics: translating ecological data into knowledge and decisions in a rapidly changing world: ICEI 2018

International Conference On Ecological Informatics, Thüringer Universitäts- Und Landesbibliothek Jena, Jitendra Gaikwad
2019
, • sophisticated pattern recognition by deep learning, • advanced exploration of valuable information in 'big data' by means of machine learning and process modelling, • decision-informing solutions for  ...  For that purpose, we combine object part localization, image features extracted from pre-trained convolutional neural networks, and support vector machine classification to provide field researchers with  ...  Then, for the feature extraction stage, descriptors based on the MFCC (Mel Frequency Cepstral Coefficients) were computed, but with the difference that Mel scale was removed and the coefficients were computed  ... 
doi:10.22032/dbt.38375 fatcat:qwx5h42r4zdibdhwjxtpcia6oe
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