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Preselection of support vector candidates by relative neighborhood graph for large-scale character recognition
2015
2015 13th International Conference on Document Analysis and Recognition (ICDAR)
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We propose a pre-selection method for training support vector machines (SVM) with a large-scale dataset. ...
For the selection, that is, searching for boundary patterns, we utilize a relative neighborhood graph (RNG). ...
• We developed an efficient method for constructing RNGs. The computation time of the method scales with O(n 2 ) and the algorithm is memory-efficient. ...
doi:10.1109/icdar.2015.7333773
dblp:conf/icdar/GotoIU15
fatcat:d6wgrpnrjzb4hegqirexyju3zy
Vision-Based Hand Gesture Recognition for Human-Computer Interaction
[chapter]
2009
Human Factors and Ergonomics
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Acknowledgements This work has been partially supported by EU-IST NoE MUSCLE (FP6-507752), the Greek national GSRT project XENIOS and the EU-IST project INDIGO (FP6-045388). ...
• K l (P ) is a local maximum in its (scale-dependent) neighborhood of the contour. ...
The similarity of the candidate to the prototype is proportional to the total score on a preselected similarity measure. ...
doi:10.1201/9781420064995-c34
fatcat:ethpj6kys5dpdjihszbkjgqewa
Pattern recognition: Historical perspective and future directions
2000
International journal of imaging systems and technology (Print)
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Pattern recognition is one of the most important functionalities for intelligent behavior and is displayed by both biological and artificial systems. ...
Pattern recognition also involves categorization: making sense of patterns not previously seen. ...
The weights are the relative contributions of the support vectors to the decision surface. ...
doi:10.1002/1098-1098(2000)11:2<101::aid-ima1>3.0.co;2-j
fatcat:7avx2v64l5h6leyn5pdgg6s4ey
Open Stylometric System WebSty: Integrated Language Processing, Analysis and Visualisation
2018
Computational Methods in Science and Technology
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We discuss the underlying ideas of the system, its architecture, a pipeline of language tools for processing Polish, and its integration with systems for clustering, visualizing the results of clustering ...
The paper presents an open, web-based system for stylometric analysis named WebSty, which is a part of the CLARIN-PL research infrastructure. ...
Acknowledgements Works funded by the Polish Ministry of Science and Higher Education within CLARIN-PL Research Infrastructure. ...
doi:10.12921/cmst.2018.0000007
fatcat:pditv66ns5emzj6xbs4fi46ssu
From surfaces to objects: computer vision and three dimensional scene analysis
1990
ChoiceReviews
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I feel awkward about ranking people by the amount or the quality of the help given, so I will not do that. ...
The work presented here takes an integrated view of the problems and demonstrates that recognition can actually be done. ...
A position consists of a 3-vector representing relative translation and a unit 4-vector quaternion representing relative orientation (of the form (cos(θ/2), sin(θ/2) w) for a rotation of θ about the axis ...
doi:10.5860/choice.27-2755
fatcat:cpli4dhclfblfgummz5ohq72ce
Building semantic trees from XML documents
2016
Journal of Web Semantics
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nodes as special sphere neighborhood vectors including all XML structural relationships within a (user-chosen) range, and iv) running context vectors through a hybrid disambiguation process, combining ...
XSDF consists of four main modules for: i) linguistic pre-processing of simple/compound XML node labels and values, ii) selecting ambiguous XML nodes as targets for disambiguation, iii) representing target ...
This study is partly funded by the National Council for Scientific Research (CNRS), Lebanon, project: NCSR_00695_01/09/15, and by LAU grant: SOERC1415T004. ...
doi:10.1016/j.websem.2016.03.002
fatcat:uqehvo445bgwpeyawpqxoon4ye
Performance Evaluation of Different Data Mining Classification Algorithm and Predictive Analysis
2013
IOSR Journal of Computer Engineering
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Data mining is the knowledge discovery process by analyzing the large volumes of data from various perspectives and summarizing it into useful information; data mining has become an essential component ...
and improve the performance by applying data preprocessing techniques and feature selection and also prediction of new class labels. ...
We thank our parents for their support and thank all our friends and well-wishers who were a constant source of inspiration This is a relatively new field and there is a tremendous potential for future ...
doi:10.9790/0661-1060106
fatcat:ffw6zxhlajaljmhstlrz6tbqhe
Beyond Traditional Kernels: Classification in Two Dissimilarity-Based Representation Spaces
2008
IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)
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Proximity captures the degree of similarity between examples and is thereby fundamental in learning. ...
Learning from pairwise proximity data usually relies on either kernel methods for specifically designed kernels or the nearest neighbor (NN) rule. ...
Paclík for providing dissimilarity data. The authors also thank anonymous reviewers for their good suggestions. ...
doi:10.1109/tsmcc.2008.2001687
fatcat:olsjte6j7zan3gtvqhpwyl7dhm
Action synopsis
2005
ACM Transactions on Graphics
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(Images used courtesy Abstract Illustrating motion in still imagery for the purpose of summary, abstraction and motion description is important for a diverse spectrum of fields, ranging from arts to sciences ...
We present methods for illustrating the selected poses in an image as a means to convey the action. ...
This work was supported in part by grants from the Israel Science Foundation (founded by the Israel Academy of Sciences and Humanities), by the Israeli Ministry of Science. ...
doi:10.1145/1073204.1073246
fatcat:z4pqytthqrbqdn6tnaazfv3qbe
Action synopsis
2005
ACM SIGGRAPH 2005 Papers on - SIGGRAPH '05
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(Images used courtesy Abstract Illustrating motion in still imagery for the purpose of summary, abstraction and motion description is important for a diverse spectrum of fields, ranging from arts to sciences ...
We present methods for illustrating the selected poses in an image as a means to convey the action. ...
This work was supported in part by grants from the Israel Science Foundation (founded by the Israel Academy of Sciences and Humanities), by the Israeli Ministry of Science. ...
doi:10.1145/1186822.1073246
fatcat:e3qwtworcfdczp7h7ocaaltebe
Topic models for image retrieval on large-scale databases
2009
ACM SIGMultimedia Records
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Throughout this thesis, the suitability of all proposed models and approaches is demonstrated by user studies on a real-world, large-scale database in the context of image retrieval tasks. ...
In this thesis we present a complete image retrieval system based on topic models and evaluate the suitability of different types of topic models for the task of large-scale retrieval on real-world databases ...
Given a predefined interest point at a specified scale (i.e., size of local neighborhood), they describe the local image region surrounding the interest point compactly by a feature vector. ...
doi:10.1145/1738921.1738925
fatcat:ia42ztkmznfdvmsowo2uo6ufda
A hierarchical model of goal directed navigation selects trajectories in a visual environment
2015
Neurobiology of Learning and Memory
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The reviewer is correct in his/her understanding about the visual place recognition method we used for loop closure. ...
We rectify the loss of fidelity by exploiting the loop-closure detection ability of a biologically inspired, robot navigation model termed RatSLAM. ...
Acknowledgements This work was supported by the ONR MURI grant N00014-10-1-0936, the ONR grant N00014-09-1-0641 and an Australian Research Council Discovery Project DP1212775. ...
doi:10.1016/j.nlm.2014.07.003
pmid:25079451
fatcat:nkfiuntx2fhkli4tif7sndt46u
Ordinal Hyperplane Loss
2018
2018 IEEE International Conference on Big Data (Big Data)
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Ratings scales, medical classification scales, socio-economic scales, meaningful groupings of continuous data, facial emotional intensity and facial age estimation are examples of ordinal data for which ...
Our conversations outside of course work were special for me. You will always be a dear friend. I also want to thank Yiyun Zhou and Dr. Linh Le for all of the help that you provided. ...
Based on examination of the image data, the cropped images are relatively large images for the purposes of this type of classification. ...
doi:10.1109/bigdata.2018.8622079
dblp:conf/bigdataconf/VanderheydenX18
fatcat:yj4ttuibt5ayvefjv6wsmfhb54
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems
2015
International Journal of Computer Vision
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large range of model types. ...
Key insights from our study agree with the results of Szeliski et al. for the types of models they studied. ...
This work has been supported by the German Research Foundation (DFG) within the program "Spatio-/ Temporal Graphical Models and Applications in Image Analysis", grant GRK 1653. ...
doi:10.1007/s11263-015-0809-x
fatcat:62xje37yzffsfgw76hhflwiyt4
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems
[article]
2014
arXiv
pre-print
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large range of model types. ...
Key insights from our study agree with the results of Szeliski et al. for the types of models they studied. ...
This work has been supported by the German Research Foundation (DFG) within the program "Spatio-/ Temporal Graphical Models and Applications in Image Analysis", grant GRK 1653. ...
arXiv:1404.0533v1
fatcat:eh2mhtz2dngnjh4uhzscw2w7c4
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