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On-The-Fly Handwriting Recognition using a High-Level Representation

, , , , , , and . The 16th International Conference on Computer Analysis of Images and Patterns (CAIP), Lecture Notes in Computer Science (LNCS), (September 2015)

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Learning Convolutional Neural Networks for Object Detection with very little Training Data, , , and . Academic Press, (2019)Two Worlds in One Network: Fusing Deep Learning and Random Forests for Classification and Object Detection, , and . Volunteered Geographic Information, (2024)Learned Fourier Bases for Deep Set Feature Extractors in Automotive Reinforcement Learning., , and . ITSC, page 931-938. IEEE, (2023)On-The-Fly Handwriting Recognition using a High-Level Representation, , , , , , and . The 16th International Conference on Computer Analysis of Images and Patterns (CAIP), Lecture Notes in Computer Science (LNCS), (September 2015)Deep Reinforcement Learning for Autonomous Driving using High-Level Heterogeneous Graph Representations., , and . ICRA, page 7147-7153. IEEE, (2023)Region-based Cycle-Consistent Data Augmentation for Object Detection., , , , , , and . IEEE BigData, page 5205-5211. IEEE, (2018)On-The-Fly Handwriting Recognition using a High-Level Representation, , , , , , and . The 16th International Conference on Computer Analysis of Images and Patterns (CAIP), Lecture Notes in Computer Science (LNCS), (September 2015)Constrained Mean Shift Clustering., , and . SDM, page 235-243. SIAM, (2022)Blind Knowledge Distillation for Robust Image Classification, , , and . arXiv, (November 2022)Neural Random Forest Imitation, and . arXiv, (November 2019)