Követés
Dávid Papp
Cím
Hivatkozott rá
Hivatkozott rá
Év
Deep Learning and SVM Classification for Plant Recognition in Content-Based Large Scale Image Retrieval.
BP Tóth, MJ Tóth, D Papp, G Szücs
CLEF (Working Notes), 569-578, 2016
272016
Viewpoints combined classification, method in image-based plant identification task
G Szűcs, D Papp, D Lovas
Working Notes for CLEF 2014 Conference 1180, 763-770, 2014
242014
Deep Learning for Plant Classification and Content-Based Image Retrieval
BP Gyires-Tóth, M Osváth, D Papp, G Szűcs
Cybernetics and Information Technologies 19 (1), 88-100, 2019
162019
Object Detection, Classification, Tracking and individual Recognition for Sea Images and Videos.
D Papp, D Lovas, G Szücs
CLEF (Working Notes), 525-533, 2016
92016
SVM classification of moving objects tracked by Kalman filter and Hungarian method
G Szűcs, D Papp, D Lovas
Working Notes of CLEF 2015 Conference, Toulouse, France, 2015
82015
Content-based image retrieval for multiple objects search
G Szűcs, D Papp
Cybernetics and Information Technologies 17 (2), 106-118, 2017
72017
Balanced active learning method for image classification
D Papp, G Szűcs
Acta Cybernetica 23 (2), 645-658, 2017
72017
Image Matching for Individual Recognition with SIFT, RANSAC and MCL.
D Papp, F Mogyorósi, G Szücs
CLEF (Working Notes), 2017
52017
Machine preparation for human labelling of hierarchical train sets by spectral clustering
D Papp, G Szűcs, Z Knoll
2019 10th IEEE International Conference on Cognitive Infocommunications …, 2019
42019
MMKK++ algorithm for clustering heterogeneous images into an unknown number of clusters
D Papp, G Szűcs
ELCVIA Electronic Letters on Computer Vision and Image Analysis 16 (3), 30-45, 2018
42018
Double probability model for open set problem at image classification
D Papp, G Szűcs
Informatica 29 (2), 353-369, 2018
42018
Extended Margin and Soft Balanced Strategies in Active Learning
D Papp, G Szűcs
European Conference on Advances in Databases and Information Systems, 69-81, 2018
32018
Difference based query strategies in active learning
D Papp, G Szűcs, Z Knoll
2019 IEEE 17th International Symposium on Intelligent Systems and …, 2019
22019
Graph construction with condition-based weights for spectral clustering of hierarchical datasets
D Papp, Z Knoll, G Szűcs
INFOCOMMUNICATIONS JOURNAL 12 (2), 34-40, 2020
2020
Automated Labeling Process for Unknown Images in an open-world Scenario
D Papp, G Szűcs
Hungarian Journal of Industry and Chemistry, 33-39, 2019
2019
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Cikkek 1–15