UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

Upscaled diurnal cycles of land–atmosphere fluxes: a new global half-hourly data product

Earth system science data, 2018-07, Vol.10 (3), p.1327-1365

2018

Volltextzugriff (PDF)

Diagnosing the Dynamics of Observed and Simulated Ecosystem Gross Primary Productivity with Time Causal Information Theory Quantifiers

PloS one, 2016-10, Vol.11 (10), p.e0164960-e0164960

2016

Volltextzugriff (PDF)

Predicting spatiotemporal variability in radial tree growth at the continental scale with machine learning

Environmental Data Science, 2022, Vol.1, Article e9

2022

Volltextzugriff (PDF)

Multivariate anomaly detection for Earth observations: a comparison of algorithms and feature extraction techniques

Earth system dynamics, 2017-08, Vol.8 (3), p.677-696

2017

Volltextzugriff (PDF)

When tree rings go global: Challenges and opportunities for retro- and prospective insight

Quaternary science reviews, 2018-10, Vol.197, p.1-20

2018

Volltextzugriff (PDF)

Emerging technologies revolutionise insect ecology and monitoring

Trends in ecology & evolution (Amsterdam), 2022-10, Vol.37 (10), p.872-885

2022

Volltextzugriff (PDF)

Kernel Null Space Methods for Novelty Detection

2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013, p.3374-3381

2013

Volltextzugriff (PDF)

Determining the community composition of herbaceous species from images using convolutional neural networks

Ecological informatics, 2024-05, Vol.80, p.102516, Article 102516

2024

Volltextzugriff (PDF)

Pre-trained models are not enough: active and lifelong learning is important for long-term visual monitoring of mammals in biodiversity research—Individual identification and attribute prediction with image features from deep neural networks and decoupled decision models applied to elephants and great apes

Mammalian biology : Zeitschrift für Säugetierkunde, 2022-06, Vol.102 (3), p.875-897

2022

Volltextzugriff (PDF)

Occlusion-Robustness of Convolutional Neural Networks via Inverted Cutout

2022 26th International Conference on Pattern Recognition (ICPR), 2022, p.2829-2835

2022

Volltextzugriff (PDF)

Improved tree-ring archives will support earth-system science

Nature ecology & evolution, 2017-01, Vol.1 (2), Article 0008

2017

Volltextzugriff (PDF)

Local Novelty Detection in Multi-class Recognition Problems

2015 IEEE Winter Conference on Applications of Computer Vision, 2015, p.813-820

2015

Volltextzugriff (PDF)

Earth system data cubes unravel global multivariate dynamics

Earth system dynamics, 2020-02, Vol.11 (1), p.201-234

2020

Volltextzugriff (PDF)

Large-Scale Gaussian Process Inference with Generalized Histogram Intersection Kernels for Visual Recognition Tasks

International journal of computer vision, 2017, Vol.121 (2), p.253-280

2017

Volltextzugriff (PDF)

Classification-Specific Parts for Improving Fine-Grained Visual Categorization

Pattern Recognition, 2019, Vol.11824, p.62-75

2019

Volltextzugriff (PDF)

End-to-End Learning of Fisher Vector Encodings for Part Features in Fine-Grained Recognition

Pattern Recognition, 2022, Vol.13024, p.142-158

2022

Volltextzugriff (PDF)

Beyond Debiasing: Actively Steering Feature Selection via Loss Regularization

Pattern Recognition, 2024, Vol.14264, p.394-408

2024

Volltextzugriff (PDF)

Labeling Examples That Matter: Relevance-Based Active Learning with Gaussian Processes

Pattern Recognition, 2013, p.282-291

2013

Volltextzugriff (PDF)

Investigating Neural Network Training on a Feature Level Using Conditional Independence

Computer Vision - ECCV 2022 Workshops, 2023, Vol.13806, p.383-399

2023

Volltextzugriff (PDF)

Conditional Adversarial Debiasing: Towards Learning Unbiased Classifiers from Biased Data

Pattern Recognition, 2022, Vol.13024, p.48-62

2022

Volltextzugriff (PDF)

Automated Visual Large Scale Monitoring of Faunal Biodiversity

Pattern recognition and image analysis, 2021-07, Vol.31 (3), p.477-488

2021

Volltextzugriff (PDF)

Active learning and discovery of object categories in the presence of unnameable instances

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, p.4343-4352

2015

Volltextzugriff (PDF)

Weakly Supervised Segmentation Pretraining for Plant Cover Prediction

Pattern Recognition, 2022, Vol.13024, p.589-603

2022

Volltextzugriff (PDF)

Towards Confirmable Automated Plant Cover Determination

Computer Vision - ECCV 2020 Workshops, 2021, Vol.12540, p.312-329

2021

Volltextzugriff (PDF)

1 – 25 von 32

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(25)
Mit Volltextzugriff
(31)

Publikationsform

Sprache

Englisch
(32)

Erscheinungsjahr

n.n

Thema

Science & Technology
(22)
Computer Science
(12)
Technology
(12)
Computer Science, Artificial Intelligence
(9)
Computer Vision
(6)
Gaussian Process
(6)
Pattern Recognition
(6)
Physical Sciences
(6)
Algorithms
(5)
Climate Change
(5)
Deep Learning
(5)
Geology
(5)
Geosciences, Multidisciplinary
(5)
Life Sciences & Biomedicine
(5)
Novelty Detection
(5)
Training
(5)
Active Learning
(4)
Ecology
(4)
Environmental Sciences & Ecology
(4)
Remote Sensing
(4)

15 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

... seit 90 Tagen
(1)

Menü

Weitere Dienste

Einstellungen

Upscaled diurnal cycles of land–atmosphere fluxes: a new global half-hourly data product

Towards a multisensor station for automated biodiversity monitoring

Diagnosing the Dynamics of Observed and Simulated Ecosystem Gross Primary Productivity with Time Causal Information Theory Quantifiers

Predicting spatiotemporal variability in radial tree growth at the continental scale with machine learning

Multivariate anomaly detection for Earth observations: a comparison of algorithms and feature extraction techniques

When tree rings go global: Challenges and opportunities for retro- and prospective insight

Emerging technologies revolutionise insect ecology and monitoring

Kernel Null Space Methods for Novelty Detection

Determining the community composition of herbaceous species from images using convolutional neural networks

Occlusion-Robustness of Convolutional Neural Networks via Inverted Cutout

Improved tree-ring archives will support earth-system science

Local Novelty Detection in Multi-class Recognition Problems

Earth system data cubes unravel global multivariate dynamics

Large-Scale Gaussian Process Inference with Generalized Histogram Intersection Kernels for Visual Recognition Tasks

Classification-Specific Parts for Improving Fine-Grained Visual Categorization

End-to-End Learning of Fisher Vector Encodings for Part Features in Fine-Grained Recognition

Beyond Debiasing: Actively Steering Feature Selection via Loss Regularization

Labeling Examples That Matter: Relevance-Based Active Learning with Gaussian Processes

Investigating Neural Network Training on a Feature Level Using Conditional Independence

Conditional Adversarial Debiasing: Towards Learning Unbiased Classifiers from Biased Data

Automated Visual Large Scale Monitoring of Faunal Biodiversity

Active learning and discovery of object categories in the presence of unnameable instances

Weakly Supervised Segmentation Pretraining for Plant Cover Prediction

Towards Confirmable Automated Plant Cover Determination

Suchergebnisse filtern