ClusteringMethodsStatisticalEstimationVisualizationClassificationInternational Conference on Pattern Recognition20232020DetectionRetrievalUnderstandingMotion analysisRoboticsCortexObject recognitionQuantitative AnalysisRepresentationSurfacesCharacterizationConferenceQualitativeTasksPerceptionLaboratorySequences2022ArtificialRecognizeBehaviorAlgorithmsResearchIdentificationReconstructionFaceData analysisCorrelationNeuralDemonstratesComputerTrendClinical
Clustering1
- In this study, with the help of visual clustering plots of principal component analysis (PCA), a prediction model based on hierarchical strategy was made using support vector machine (SVM) method for the qualitative profiling of aromatic pollutants. (bvsalud.org)
Methods7
- Studies using ROI analysis / small volume correction methods were more often devoted specifically to the amygdala region, with some results reporting uncorrected p-values based on mainly clinical a priori evidence of amygdala involvement in these processes. (nih.gov)
- Current approaches to object recognition make essential use of machine learning methods. (acm.org)
- CLARET: a tool for fully automated evaluation of MRSI with pattern recognition methods. (uni-heidelberg.de)
- There are methods that use the entire face as input data for the proposed recognition system, methods that do not consider the whole face, but only some features or areas of the face and methods that use global and local face characteristics simultaneously. (mdpi.com)
- Furthermore, the databases used in face recognition are mentioned, and some results of the applications of these methods on face recognition databases are presented. (mdpi.com)
- We use hydroacoustic (singlebeam and multibeam systems, sub-bottom profilers), electromagnetic (magnetometers) and optical (cameras, fluorometers, lasers) technologies in conjunction with post-processing and calibration techniques (filtering and statistical methods, photogrammetry, 4D reconstruction), and combine these methods with geochemical analyses of the sea surface, the water column (such as ICP-OES, GC-MS laboratory analyses) and the atmosphere (Picarro Analyzer). (geomar.de)
- Methods of pattern recognition and machine learning are applied to large image data sets, for example, with the help of a high-performance compute-cluster infrastructure. (geomar.de)
Statistical2
- Robust Principal Component Analysis (RPCA) is a modification of the widely used statistical procedure of principal component analysis (PCA) which works well with respect to grossly corrupted observations. (wikipedia.org)
- Although a systematic approach is vital, health agencies should be flexible in their method of analysis and tests of statistical significance. (cdc.gov)
Estimation1
- Activation Likelihood Estimation (ALE) analyses were also conducted. (nih.gov)
Visualization2
- Now, with 3D or 4D data visualization , engineers and geoscientists have found it easier to make an informed analysis for the improved understanding of the multi-variable relationships. (dgi.com)
- Effective visualization and analysis facilitate the development of the interrelationships between the numerous spatio-temporal variables to get a better understanding of the reservoir conditions, geological features, and production feasibility. (dgi.com)
Classification3
- For the spectroscopy-based classification, chemometricians have developed many valuable algorithms, such as the partial least squares discriminant analysis (PLS-DA) (13), the support vector machine (SVM) (14), and the least squares support vector machines (LS-SVM) (15). (spectroscopyonline.com)
- Automatic scene classification (sometimes referred to as scene recognition , or scene analysis ) is a longstanding research problem in computer vision, which consists of assigning a label such as 'beach', 'bedroom', or simply 'indoor' or 'outdoor' to an image presented as input, based on the image's overall contents. (mathworks.com)
- Use of an ANN fixed algorithm makes it possible to objectively compare across populations eliminating classification inconsistency that can result from relying on visual evaluation. (cdc.gov)
International Conference on Pattern Recognition1
- 25th International Conference on Pattern Recognition (ICPR 2020), 10-15 Jan 2021, Milan, Italy / online. (whiterose.ac.uk)
20231
- After the success of the 5th MAPR 2022, we are pleased to announce 6th International Conference on Multimedia Analysis and Pattern Recognition (MAPR) supported by VAPR (Vietnamese Association on Pattern Recognition) will be held in Quy Nhon on October 5-6, 2023. (edu.vn)
20201
- In: Visual observation and analysis of Vertebrate And Insect Behavior 2020. (whiterose.ac.uk)
Detection4
- A computational approach to edge detection.IEEE Transaction on Pattern Analysis and Machine Intelligence, 8:679?698, 1986. (crossref.org)
- Detection of intensity changes with subpixel accuracy using Laplacian-Gaussian masks.IEEE Transactions on Pattern Analysis and Machine Intelligence, 8:651?664, 1986. (crossref.org)
- Approaches to face detection, face recognition, and facial interpretation. (cam.ac.uk)
- understand in depth at least one major practical application problem, such as face recognition, detection, or interpretation. (cam.ac.uk)
Retrieval1
Understanding1
- Among his research works, those of significant importance include detecting abnormal patterns in complex visual and medical data, assisted diagnosis using automated image analysis, fully automated volumetric image segmentation, registration, and motion analysis, machine understanding of human action, efficient deep learning, and deep learning on irregular domains. (swansea.ac.uk)
Motion analysis2
- Depth and motion analysis: the machine being developed within esprit project 940, InProceedings of the IAPR Workshop on Computer Vision (Special Hardware and Industrial Applications), Tokyo, Japan, pages 35?44, October 1988. (crossref.org)
- Derivation of qualitative information in motion analysis.Image and Vision Computing, 8, 1990. (crossref.org)
Robotics1
- The National Science Foundation, Office of Naval Research, and Qualcomm supported the research, which was conducted by Bansal and faculty members of the CMU Robotics Institute and was recently presented at the Computer Vision and Pattern Recognition conference last month. (zdnet.com)
Cortex4
- Biological visual mechanisms, from retina to cortex. (cam.ac.uk)
- superior temporal gyrus (BA Area 22) Wernike's area and striate cortex or V1(Area 17)- resulting in a phoneme processing problem (5, 22, 23 ), and pattern recognition. (w3.org)
- Main school of research Livingstone (1993) and Martin and Lovegrove 1988) )(see 9, 15) Dyslexics have reduced synaptic activity in the V5 area (also known as visual area MT, middle temporal), is a region of extra-striate visual cortex that is thought to play a major role in the perception of motion. (w3.org)
- 1998. Inhibition of long-term potentiation in developing rat visual cortex but not hippocampus by in utero exposure to polychlorinated biphenyls. (cdc.gov)
Object recognition2
- Think barcode reading, optical character recognition (OCR), signature identification, pattern/object recognition and medical image analysis. (ashfords.co.uk)
- 14] D. G. Lowe, "Object recognition from local scale-invariant features," Int. Conf. (fujipress.jp)
Quantitative Analysis2
- Danna Gurari and Seule Ki Kim won a "Best Paper Award" for "SAGE: An Approach and Implementation Empowering Quick and Reliable Quantitative Analysis of Segmentation Quality" at the IEEE Workshop on the Applications of Computer Vision (WACV) in Clearwater, Florida, in January 2013. (bu.edu)
- As a result, a noticeable change in color from red to cyan is observed and the quantitative analysis of fluorescence signals at these wavelengths are used to detect MLT observing a linear relationship between the ratio of emission intensities and the concentration of MLT over a linear range of 0 to 78 µM. (bvsalud.org)
Representation1
- Prior to deep learning, early efforts included the design and implementation of a computational model of holistic scene recognition based on a very low dimensional representation of the scene, known as its Spatial Envelope [3] . (mathworks.com)
Surfaces2
- Geometric analysis of image formation from surfaces. (cam.ac.uk)
- His current research interests include stochastic analysis of low level vision, computer vision for autonomous guided vehicles, geometry and algebra of multiple views of points, curves and surfaces, structure from motion using images, sound, radio and other sensors, cognitive vision, handwriting-recognition and medical image analysis. (lu.se)
Characterization1
- Corner characterization by differential geometry techniques.Pattern Recognition Letters, 8:311?318, 1988. (crossref.org)
Conference3
- 1] P. Zhang, W. Zhou, L. Wu, and H. Li, "SOM: Semantic Obviousness Metric for Image Quality Assessment," IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 2394-2402, 2015. (fujipress.jp)
- The aim of this conference is to bring together researchers and practitioners from both academia and industry for sharing their latest research findings, experimental results and consolidating potential collaborations on pattern recognition, multimedia analysis and related areas. (edu.vn)
- His thesis was awarded Best Nordic Ph.D. Thesis in pattern recognition and image analysis 1995-1996 at the Scandinavian Conference in Image Analysis, 1997. (lu.se)
Qualitative2
- The oil and gas industry relies heavily on data for quantitative and qualitative analysis and assessment of variable interrelationships. (dgi.com)
- A high-quality, high-accuracy, and stable model is required for the qualitative analysis of adulteration by NIR spectroscopy. (spectroscopyonline.com)
Tasks3
- This review aimed to assess the role of the amygdala in the processing of facial trustworthiness, by analyzing its amplitude BOLD response polarity to untrustworthy versus trustworthy facial signals under fMRI tasks through a Meta-analysis of effect sizes (MA). (nih.gov)
- Significant effects considering subgroup analysis based on methodological criteria were found for experiments using spatial smoothing, categorization of trustworthiness in 2 or 3 categories and paradigms which involve both explicit and implicit tasks. (nih.gov)
- In the ECG recording situation, lead reversals occur occasionally.1-3 They are often overlooked, both by the ECG readers and the conventional interpretation programs, and this may lead to misdiagnosis and improper treatment.3,4 Artificial neural networks represent a computer based method5,6 which have proved to be of value in pattern recognition tasks, e.g. (lu.se)
Perception1
- This particular puzzle demands acute visual perception, rapid mental processing, and a focused gaze to uncover the elusive word within an intricate visual mosaic. (ihra.net)
Laboratory1
- 1 Visual Neuroscience Laboratory, Institute for Biomedical Imaging and Life Sciences (CNC.IBILI), Faculty of Medicine, University of Coimbra (UC), Coimbra, Portugal. (nih.gov)
Sequences1
- Figuring out their molecular recognizing patterns is the only way to construct innovative compounds that can target specific DNA sequences with strong affinities. (bvsalud.org)
20221
- Ozdemir A, Scerri M, Barron A, Philippides A, Mangan M, Vasilaki E & Manneschi L (2022) EchoVPR: Echo State Networks for Visual Place Recognition . (sheffield.ac.uk)
Artificial2
- The aims of this course are to introduce the principles, models and applications of computer vision, as well as some mechanisms used in biological visual systems that may inspire design of artificial ones. (cam.ac.uk)
- This work describes a method using partition theory and artificial neural network (ANN) pattern recognition to accurately categorize exposure source based on BTEX and 2,5-dimethylfuran blood levels. (cdc.gov)
Recognize4
- A local visual operator which recognize edges and lines.Journal of the Association for Computing Machinery, 20:634?647, 1974. (crossref.org)
- On each map students are asked to recognize and describe the patterns displayed by the data. (carleton.edu)
- The general goal of this project is to have students recognize patterns in different data sets related to the Earth system. (carleton.edu)
- And with the aid of pattern recognition techniques, it is feasible to recognize compounds with structural similarities economically and effectively. (bvsalud.org)
Behavior1
- Although some of the observed variants, such as chondroid meningiomas, clear-cell meningiomas, papillary meningiomas, and rhabdoid meningiomas, are associated with unfavorable prognoses, the other histologic patterns are not indicators of unfavorable biologic behavior. (medscape.com)
Algorithms1
- Fast algorithms for low-level vision.IEEE Transaction on Pattern Analysis and Machine Intelligence, 1, 1990. (crossref.org)
Research6
- Professor Xie has strong research interests in the areas of Pattern Recognition and Machine Intelligence and their applications to real-world problems. (swansea.ac.uk)
- David House won the "Best Poster Award" at the Boston University Undergraduate Research Symposium, for the presentation of ``Image Analysis of Microorganisms: Developing a System for Tracking Cell Populations'' in Fall 2009. (bu.edu)
- This also gave us access to important data sets (such as Places365 [1] ), which have been crucial to the success of deep learning in scene recognition research. (mathworks.com)
- Research in this area focuses on co-creative labour and working spaces, visual cultures and grassroots creative communities, the talent and celebrity industries, and mixed genres and modes of storytelling for cross platform content. (lu.se)
- Research in this area focuses on gender equality and journalism, health and everyday media practices, public health and misinformation in online rumours for anti-vaccination, media scandals and victim recognition. (lu.se)
- Another area of research in this theme analyses media, death and dying, including storytelling, the paranormal and alternative health for mind, body and spirit. (lu.se)
Identification1
Reconstruction1
- A data-pipeline is presented which combines model calibration, 2D image analysis and 3D reconstruction of the body midline, representing the complete posture up to orientation and internal twist. (whiterose.ac.uk)
Face5
- To be able to correctly retrieve this subspace is crucial in many applications such as face recognition and alignment. (wikipedia.org)
- Despite the existence of various biometric techniques, like fingerprints, iris scan, as well as hand geometry, the most efficient and more widely-used one is face recognition. (mdpi.com)
- Therefore, researchers have developed dozens of face recognition techniques over the last few years. (mdpi.com)
- First, we expose the benefits of, as well as the challenges to the use of face recognition as a biometric tool. (mdpi.com)
- After that, a comparison between the three categories of face recognition techniques is provided. (mdpi.com)
Data analysis5
- During this activity students should gain confidence in data analysis (especially visual data) and synthesis of different data sets to evaluate hypotheses. (carleton.edu)
- What does it take to break into the growing field of data analysis? (pearltrees.com)
- Recent technological improvements have helped in the generation of these data models, making data analysis an extremely challenging prospect. (dgi.com)
- The team used what are called convolutional neural nets, which use deep learning and robust visual data analysis. (zdnet.com)
- NIOSH recently developed computer software for Spirometry Longitudinal Data Analysis (SPIROLA) to enhance healthcare providers' capacity in managing and interpreting periodic spirometry. (cdc.gov)
Correlation2
- Moreover, two ALE analyses performed with 6 articles (7 studies) identified the amygdala, insula and medial dorsal nuclei of thalamus as structures with negative correlation with trustworthiness. (nih.gov)
- Data were analyzed using correlation and regression analysis. (bvsalud.org)
Neural1
- The convolutional neural nets identify common visual data across multiple feeds and works backwards to stitch the video together. (zdnet.com)
Demonstrates3
- Finally, saliency mapping demonstrates that networks learn patterns agreeing with accepted pathologic features. (nature.com)
- The comparison among different models-the partial least squares discriminant analysis (PLS-DA) model, the support vector machine (SVM) model, the least squares support vector machine (LS-SVM), and the FA-SPA-ELM model-demonstrates that the wavelength number of the FA-SPA model can be effectively reduced with a wavelength variable of 17, and the model of FA-SPA-ELM presents the excellent predictive capability. (spectroscopyonline.com)
- Spirometry can assist the health professional by determining if a worker demonstrates a specific pattern of respiratory impairment and can help to assess the effectiveness of measures implemented to prevent further lung function deterioration. (cdc.gov)
Computer3
- Computer systems that are able of capturing visual information using cameras and processing/analysing the digital data are known as machine vision. (ashfords.co.uk)
- First let me guide you through the basics of scene recognition by humans and the history of scene recognition using computer vision. (mathworks.com)
- Averaged heart cycles were calculated and transferred to a computer for further analysis. (lu.se)
Trend2
- Trend analysis and pattern recognition can be used to optimize the design and development processes. (dgi.com)
- An analysis of variance and test for trend were performed on am-pm differences reflecting an eight hour workday and on pm scores for each solvent, in which subjects were their own control Intersubject variation in absorbance was monitored in breath. (cdc.gov)