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2015 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 53
2015
IEEE Transactions on Geoscience and Remote Sensing
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., +, 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
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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
2015
2015 IEEE International Conference on Image Processing (ICIP)
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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]
2018
arXiv
pre-print
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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
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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
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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
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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
2021
European journal of pharmaceutics and biopharmaceutics
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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]
2021
arXiv
pre-print
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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
2018
Journal of Quantitative Analysis in Sports (JQAS)
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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]
2022
arXiv
pre-print
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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
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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)
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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
2021
EFSA Journal
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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
2019
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, • 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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