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Jesús Francisco Vargas-Bonilla | Alexander Gómez | Augusto Salazar | A. Gomez-Villa | Augusto Salazar | J. Vargas-Bonilla | Alex Gomez-Villa
[1] A. F. O'connell,et al. Camera traps in animal ecology : methods and analyses , 2011 .
[2] Laura Igual,et al. Robust gait-based gender classification using depth cameras , 2013, EURASIP Journal on Image and Video Processing.
[3] Tony X. Han,et al. Ensemble Video Object Cut in Highly Dynamic Scenes , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[4] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[5] Rob Fergus,et al. Visualizing and Understanding Convolutional Networks , 2013, ECCV.
[6] German Díez,et al. Animal Identification in Low Quality Camera-Trap Images Using Very Deep Convolutional Neural Networks and Confidence Thresholds , 2016, ISVC.
[7] C. Lintott,et al. Snapshot Serengeti, high-frequency annotated camera trap images of 40 mammalian species in an African savanna , 2015, Scientific Data.
[8] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Tony X. Han,et al. Deep convolutional neural network based species recognition for wild animal monitoring , 2014, 2014 IEEE International Conference on Image Processing (ICIP).
[10] Stefan Carlsson,et al. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[11] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[12] Pietro Perona,et al. Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[14] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[15] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[16] Chaitanya K. Baru,et al. Data acquisition and management software for camera trap data: A case study from the TEAM Network , 2011, Ecol. Informatics.
[17] Jiangping Wang,et al. Automated identification of animal species in camera trap images , 2013, EURASIP J. Image Video Process..
[18] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[20] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.