Biblio
Export 115 results:
Author Title Type [ Year] Filters: First Letter Of Last Name is F [Clear All Filters]
Bayesian Calibration of MEMS Accelerometers.
IEEE Sensors Journal.
(2023).
(2023). Incremental one-class learning using regularized null-space training for industrial defect detection.
16th International Conference on Machine Vision (ICMV).
(2023). Visual Pitch and Roll Estimation For Inland Water Vessels.
IEEE International Conference on Robotics and Automation (ICRA). 1961-1967.
(2023). Fast and efficient image novelty detection based on mean-shifts.
Sensors | Unusual Behavior Detection Based on Machine Learning .
(2022). Fast and memory-efficient independent component analysis using Lie group techniques.
International Conference on Curves and Surfaces.
(2022). Image novelty detection based on mean-shift and typical set size.
21th International Conference on Image Analysis and Processing, ICIAP. ICIAP-mean-shift-novelty-detection-preprint.pdf (2.96 MB)
(2022). Large-scale independent component analysis by speeding up Lie group techniques.
International Conference on Acoustics, Speech, and Signal Processing, ICASSP. conference_101719.pdf (646.58 KB)
(2022). Targetless Lidar-camera registration using patch-wise mutual information.
International Conference on Information Fusion. mir_reg_patch.pdf (9.58 MB)
(2022). Biologically-inspired vs. CNN texture representations in novelty detection.
Applications of Machine Learning 2021. 118430I. Spie2021.pdf (5.33 MB)
(2021). Biologically-inspired vs. CNN texture representations in novelty detection.
Applications of Machine Learning 2021. 118430I. Spie2021.pdf (5.33 MB)
(2021). CNN-Based Monocular 3D Ship Detection Using Inverse Perspective.
Global Oceans.
(2020). Detecting and mapping tree seedlings in UAV imagery using convolutional neural networks and field-verified data.
ISPRS Journal of Photogrammetry and Remote Sensing. 168, 156 - 169.
(2020). Dissecting Multi-Line Handwriting for Multi-Dimensional Connectionist Classification.
15th IAPR International Conference on Document Analysis and Recognition. Dissecting Multi-Line Handwriting for Multi-Dimensional Connectionist Classification.pdf (553.24 KB)
(2019). Deep Learning Parametrization for B-Spline Curve Approximation.
2018 International Conference on 3D Vision (3DV). 691–699. 0109.pdf (675.91 KB)
(2018). Image Inpainting for High-Resolution Textures using CNN Texture Synthesis.
Computer Graphics & Visual Computing (CGVC). gcvc18.pdf (5.73 MB)
(2018). Learnt knot placement in B-spline curve approximation using support vector machines.
Computer Aided Geometric Design. 62, 104–116. GMP18.pdf (865.85 KB)
(2018). LSTM Networks for Edit Distance Calculation with Exchangeable Dictionaries.
13th IAPR International Workshop on Document Analysis Systems. 2018-04 LSTM Networks for Edit Distance Calculation with Exchangeable Dictionaries.pdf (145.78 KB)
(2018). Multi-Dimensional Connectionist Classification: Reading Text in One Step.
13th IAPR International Workshop on Document Analysis Systems. 2018-04 Multi-Dimensional Connectionist Classification Reading Text in One Step.pdf (485.57 KB)
(2018). Optical Surface Detection: A novelty detection approach based on CNN-encoded features.
SPIE Optics and Photonics. 10752 - 10752 - 13. Spie2018.pdf (730 KB)
(2018). Optical Surface Detection: A novelty detection approach based on CNN-encoded features.
SPIE Optics and Photonics. 10752 - 10752 - 13. Spie2018.pdf (730 KB)
(2018). Visualization-Assisted Development of Deep Learning Models in Offline Handwriting Recognition.
Visualization in Data Science (VDS at IEEE VIS) 2018. Visualization-Assisted Development of Deep Learning Models in Offline Handwriting Recognition.pdf (1.03 MB)
(2018). Evaluation of features for SVM-based classification of geometric primitives in point clouds.
Machine Vision Applications (MVA), 2017 Fifteenth IAPR International Conference on. 59–62. paper.pdf (1.5 MB)
(2017). Radiometric calibration of digital cameras using neural networks.
Optics and Photonics for Information Processing XI.
(2017). Improving gradient-based LSTM training for offline handwriting recognition by careful selection of the optimization method.
Conference: BW-CAR Symposium on Information and Communication Systems (SInCom). 2016-12 Improving gradient-based LSTM training for offline handwriting recognition by careful selection of the optimization method.pdf (803.54 KB)
(2016).