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Data from: Head movements quadruple the range of speeds encoded by the insect motion vision system in hawkmoths
- 负责人：
- DOI：
- doi:10.5061/dryad.05sg7
- 摘要：
- t of the motion vision system, modelled as a computational array of Reichardt detectors. The moths' head movements were modulated to allow encoding of both fast and slow
Data from: Modeling the internet of things, self-organizing and other complex adaptive communication networks: a cognitive agent-based compu
- 负责人：
- DOI：
- doi:10.5061/dryad.mq793
- 摘要：
- Background: Computer Networks have a tendency to grow at an unprecedented scale. Modern networks involve not only computers but also a wide variety
Data from: Assessing the potential information content of multicomponent visual signals: a machine learning approach
- 负责人：
- 关键词：
- visual signalling species recognition individual recognition multicomponent signals guenon face recognition
- DOI：
- doi:10.5061/dryad.4rb0r
- 摘要：
- e pattern was quantified using the computer vision ‘eigenface’ technique, and eyebrow and nose-spot focal traits were described using compu
The Capa Apple Quality Grading Multi-Spectral Image Database
- 负责人：
- DOI：
- doi:10.5281/zenodo.1313614
- 摘要：
- st of bruise, rot, flesh damage, frost damage, russet, etc. The database can be used for academic or research purposes with the aim of computer vision based
Data from: Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project
- 负责人：
- Hart, Tom
- DOI：
- doi:10.5061/dryad.vv36g
- 摘要：
- y can be employed as a training tool for machine learning algorithms to automate data extraction, and we encourage the use of this data set for computer vision
Data from: Intercomparison of photogrammetry software for three-dimensional vegetation modelling
- 负责人：
- DOI：
- doi:10.5061/dryad.2459s12
- 摘要：
- Photogrammetry-based 3D reconstruction of objects is becoming increasingly appealing in research areas unrelated to computer vision. It ha
Data from: High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: application
- 负责人：
- 关键词：
- learning;image analysis;Invasive tumors;Histopathology;Neurons;Neural networks;Imaging techniques
- DOI：
- doi:10.5061/dryad.1g2nt41
- 摘要：
- . Convolutional neural network (CNN) is the most popular representation learning method for computer vision tasks, which have been successfully applied in digital pathology
Data from: Unsupervised machine learning reveals mimicry complexes in bumble bees occur along a perceptual continuum
- 负责人：
- DOI：
- doi:10.5061/dryad.sd7cd06
- 摘要：
- ross the contiguous United States and use these to quantify colour pattern mimicry using an innovative, unsupervised machine learning approach based on computer vision
Data from: Cultural evolution of military camouflage
- 负责人：
- Talas, Laszlo
- DOI：
- doi:10.5061/dryad.n511h
- 摘要：
- ng a unique database of calibrated photographs of camouflage uniform patterns, processed using texture and colour analysis methods from computer vision, we sh
Data from: Improving automated annotation of benthic survey images using wide-band fluorescence
- 负责人：
- DOI：
- doi:10.5061/dryad.t4362
- 摘要：
- d on convolutional neural networks was developed. Our results demonstrate a 22% reduction of classification error-rate when using both images types compared to only using reflectance
