AIMC Topic: Birds

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Hierarchical Deep Click Feature Prediction for Fine-Grained Image Recognition.

IEEE transactions on pattern analysis and machine intelligence Jan 7, 2022
The click feature of an image, defined as the user click frequency vector of the image on a predefined word vocabulary, is known to effectively reduce the semantic gap for fine-grained image recognition. Unfortunately, user click frequency data are u...
Machine Learning Algorithms Datasets as Topic Semantics Pattern Recognition, Automated Animals Birds Dogs
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Comparing recurrent convolutional neural networks for large scale bird species classification.

Scientific reports Aug 24, 2021
We present a deep learning approach towards the large-scale prediction and analysis of bird acoustics from 100 different bird species. We use spectrograms constructed on bird audio recordings from the Cornell Bird Challenge (CBC)2020 dataset, which i...
Deep Learning Animals Vocalization, Animal Birds
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Bioacoustic classification of avian calls from raw sound waveforms with an open-source deep learning architecture.

Scientific reports Aug 3, 2021
The use of autonomous recordings of animal sounds to detect species is a popular conservation tool, constantly improving in fidelity as audio hardware and software evolves. Current classification algorithms utilise sound features extracted from the r...
Machine Learning Vocalization, Animal Algorithms Neural Networks, Computer Animals Acoustics Birds Sound Deep Learning
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A System Using Artificial Intelligence to Detect and Scare Bird Flocks in the Protection of Ripening Fruit.

Sensors (Basel, Switzerland) Jun 21, 2021
Flocks of birds may cause major damage to fruit crops in the ripening phase. This problem is addressed by various methods for bird scaring; in many cases, however, the birds become accustomed to the distraction, and the applied scaring procedure lose...
Animals Birds Fruit Neural Networks, Computer Artificial Intelligence
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Feature Selection on Elite Hybrid Binary Cuckoo Search in Binary Label Classification.

Computational and mathematical methods in medicine May 11, 2021
For the low optimization accuracy of the cuckoo search algorithm, a new search algorithm, the Elite Hybrid Binary Cuckoo Search (EHBCS) algorithm, is improved by feature weighting and elite strategy. The EHBCS algorithm has been designed for feature ...
Animals Male Birds Computational Biology Support Vector Machine Databases, Factual Female Risk Factors Humans Algorithms Pattern Recognition, Automated Classification
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Drone vs. Bird Detection: Deep Learning Algorithms and Results from a Grand Challenge.

Sensors (Basel, Switzerland) Apr 16, 2021
Adopting effective techniques to automatically detect and identify small drones is a very compelling need for a number of different stakeholders in both the public and private sectors. This work presents three different original approaches that compe...
Animals Birds Deep Learning Algorithms Motion
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Universal probabilistic programming offers a powerful approach to statistical phylogenetics.

Communications biology Feb 24, 2021
Statistical phylogenetic analysis currently relies on complex, dedicated software packages, making it difficult for evolutionary biologists to explore new models and inference strategies. Recent years have seen more generic solutions based on probabi...
Biological Evolution Bayes Theorem Programming Languages Probability Monte Carlo Method Artificial Intelligence Biostatistics Software Phylogeny Models, Statistical Data Interpretation, Statistical Animals Birds
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Domain randomization-enhanced deep learning models for bird detection.

Scientific reports Jan 12, 2021
Automatic bird detection in ornithological analyses is limited by the accuracy of existing models, due to the lack of training data and the difficulties in extracting the fine-grained features required to distinguish bird species. Here we apply the d...
Weather Random Allocation Environment Animal Migration Animals Birds Deep Learning
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Machine learning enables improved runtime and precision for bio-loggers on seabirds.

Communications biology Oct 30, 2020
Unravelling the secrets of wild animals is one of the biggest challenges in ecology, with bio-logging (i.e., the use of animal-borne loggers or bio-loggers) playing a pivotal role in tackling this challenge. Bio-logging allows us to observe many aspe...
Machine Learning Birds Behavior, Animal Animals Geographic Information Systems Monitoring, Physiologic Environmental Monitoring Video Recording
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Scalable classification of organisms into a taxonomy using hierarchical supervised learners.

Journal of bioinformatics and computational biology Oct 29, 2020
Accurately identifying organisms based on their partially available genetic material is an important task to explore the phylogenetic diversity in an environment. Specific fragments in the DNA sequence of a living organism have been defined as DNA ba...
Deep Learning Chiroptera Birds Fungi Rodentia Algorithms Phylogeny Ferns DNA Barcoding, Taxonomic Classification Animals Support Vector Machine Databases, Genetic
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