4.8 Article

Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning

Related references

Note: Only part of the references are listed.
Editorial Material Biochemistry & Molecular Biology

Learning from Everyday Images Enables Expert-like Diagnosis of Retinal Diseases

Ladislav Rampasek et al.

Article Biodiversity Conservation

A generalized approach for producing, quantifying, and validating citizen science data from wildlife images

Alexandra Swanson et al.

CONSERVATION BIOLOGY (2016)

Article Biology

The spatial distribution of African savannah herbivores: species associations and habitat occupancy in a landscape context

T. Michael Anderson et al.

PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES (2016)

Article Ecology

In the absence of a landscape of fear: How lions, hyenas, and cheetahs coexist

Alexandra Swanson et al.

ECOLOGY AND EVOLUTION (2016)

Article Computer Science, Artificial Intelligence

ImageNet Large Scale Visual Recognition Challenge

Olga Russakovsky et al.

INTERNATIONAL JOURNAL OF COMPUTER VISION (2015)

Article Multidisciplinary Sciences

Human-level control through deep reinforcement learning

Volodymyr Mnih et al.

NATURE (2015)

Review Multidisciplinary Sciences

Deep learning

Yann LeCun et al.

NATURE (2015)

Article Engineering, Electrical & Electronic

Deep Convolutional Neural Networks for Hyperspectral Image Classification

Wei Hu et al.

JOURNAL OF SENSORS (2015)

Article Ecology

Software for minimalistic data management in large camera trap studies

Yathin S. Krishnappa et al.

ECOLOGICAL INFORMATICS (2014)

Article Multidisciplinary Sciences

A Novel Method to Reduce Time Investment When Processing Videos from Camera Trap Studies

Kristijn R. R. Swinnen et al.

PLOS ONE (2014)

Article Radiology, Nuclear Medicine & Medical Imaging

Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features

Haibo Wang et al.

JOURNAL OF MEDICAL IMAGING (2014)

Review Computer Science, Artificial Intelligence

Representation Learning: A Review and New Perspectives

Yoshua Bengio et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)

Article Engineering, Electrical & Electronic

Automated identification of animal species in camera trap images

Xiaoyuan Yu et al.

EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING (2013)

Proceedings Paper Computer Science, Artificial Intelligence

Feature design for offline Arabic handwriting recognition: handcrafted vs automated?

Youssouf Chherawala et al.

2013 12TH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR) (2013)

Article Engineering, Electrical & Electronic

Deep Neural Networks for Acoustic Modeling in Speech Recognition

Geoffrey Hinton et al.

IEEE SIGNAL PROCESSING MAGAZINE (2012)

Article Computer Science, Artificial Intelligence

Classifier chains for multi-label classification

Jesse Read et al.

MACHINE LEARNING (2011)

Article Automation & Control Systems

Latent Dirichlet allocation

DM Blei et al.

JOURNAL OF MACHINE LEARNING RESEARCH (2003)

Article Biodiversity Conservation

Camera trap, line transect census and track surveys: a comparative evaluation

L Silveira et al.

BIOLOGICAL CONSERVATION (2003)