Deep Learning in Mining of Visual Content
暂无分享,去创建一个
[1] Andrew T. Duchowski,et al. Eye Tracking Methodology: Theory and Practice , 2003, Springer London.
[2] Philip H. S. Torr,et al. Learn To Pay Attention , 2018, ICLR.
[3] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[4] David S Wooding,et al. Eye movements of large populations: II. Deriving regions of interest, coverage, and similarity using fixation maps , 2002, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.
[5] S Lehéricy,et al. Memory disorders in probable Alzheimer's disease: the role of hippocampal atrophy as shown with MRI. , 1995, Journal of neurology, neurosurgery, and psychiatry.
[6] Yoshua Bengio,et al. On the Properties of Neural Machine Translation: Encoder–Decoder Approaches , 2014, SSST@EMNLP.
[7] Tony Lindeberg,et al. Scale-Space Theory in Computer Vision , 1993, Lecture Notes in Computer Science.
[8] Subhransu Maji,et al. Bilinear CNN Models for Fine-Grained Visual Recognition , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[9] J. R,et al. Back Propagation Is Not Efficient , 1996 .
[10] Junjie Wu,et al. Architectural Style Classification Using Multinomial Latent Logistic Regression , 2014, ECCV.
[11] Jenny Benois-Pineau,et al. Extraction of foreground objects from an MPEG2 video stream in rough-indexing framework , 2003, IS&T/SPIE Electronic Imaging.
[12] Mohammadamin Erfanmanesh,et al. Visual indexing and retrieval , 2014, Webology.
[13] Jenny Benois-Pineau,et al. Introduction of Explicit Visual Saliency in Training of Deep CNNs: Application to Architectural Styles Classification , 2018, 2018 International Conference on Content-Based Multimedia Indexing (CBMI).
[14] Lucas Paletta,et al. Window Detection in Facades , 2007, 14th International Conference on Image Analysis and Processing (ICIAP 2007).
[15] Wilhelm Burger,et al. Digital Image Processing - An Algorithmic Introduction using Java , 2008, Texts in Computer Science.
[16] Jenny Benois-Pineau,et al. FuseMe: Classification of sMRI images by fusion of Deep CNNs in 2D+ε projections , 2017, CBMI.
[17] Forrest N. Iandola,et al. SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <1MB model size , 2016, ArXiv.
[18] Antonio Torralba,et al. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope , 2001, International Journal of Computer Vision.
[19] J. Ashburner,et al. Multimodal Image Coregistration and Partitioning—A Unified Framework , 1997, NeuroImage.
[20] Gabriela Csurka,et al. Visual categorization with bags of keypoints , 2002, eccv 2004.
[21] O. Firschein,et al. Syntactic pattern recognition and applications , 1983, Proceedings of the IEEE.
[22] Karl J. Friston,et al. Spatial registration and normalization of images , 1995 .
[23] Nick C Fox,et al. The clinical use of structural MRI in Alzheimer disease , 2010, Nature Reviews Neurology.
[24] Suhuai Luo,et al. Automatic Alzheimer’s Disease Recognition from MRI Data Using Deep Learning Method , 2017 .
[25] James A. Anderson,et al. Neurocomputing: Foundations of Research , 1988 .
[26] Yoram Singer,et al. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization , 2011, J. Mach. Learn. Res..
[27] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[28] Karl J. Friston,et al. Incorporating Prior Knowledge into Image Registration , 1997, NeuroImage.
[29] Gayane Shalunts,et al. Architectural Style Classification of Building Facade Towers , 2011, ISVC.
[30] Gregory R. Koch,et al. Siamese Neural Networks for One-Shot Image Recognition , 2015 .
[31] Geoffrey E. Hinton,et al. On the importance of initialization and momentum in deep learning , 2013, ICML.
[32] Tom Fawcett,et al. An introduction to ROC analysis , 2006, Pattern Recognit. Lett..
[33] Chuanyi Ji,et al. A unified approach on fast training of feedforward and recurrent networks using EM algorithm , 1998, IEEE Trans. Signal Process..
[34] Robert C. Bolles,et al. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.
[35] Jenny Benois-Pineau,et al. Strategies for multiple feature fusion with Hierarchical HMM: Application to activity recognition from wearable audiovisual sensors , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).
[36] D. Hubel,et al. Receptive fields and functional architecture of monkey striate cortex , 1968, The Journal of physiology.
[37] Boris Polyak,et al. Acceleration of stochastic approximation by averaging , 1992 .
[38] Tomaso A. Poggio,et al. Face recognition with support vector machines: global versus component-based approach , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[39] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[40] D. Bennett,et al. MRI-derived entorhinal and hippocampal atrophy in incipient and very mild Alzheimer’s disease☆ ☆ This research was supported by grants P01 AG09466 and P30 AG10161 from the National Institute on Aging, National Institutes of Health. , 2001, Neurobiology of Aging.
[41] Simon Haykin,et al. GradientBased Learning Applied to Document Recognition , 2001 .
[42] G. Frisoni,et al. Structural correlates of early and late onset Alzheimer’s disease: voxel based morphometric study , 2004, Journal of Neurology, Neurosurgery & Psychiatry.
[43] Shuicheng Yan,et al. A2-Nets: Double Attention Networks , 2018, NeurIPS.
[44] F ROSENBLATT,et al. The perceptron: a probabilistic model for information storage and organization in the brain. , 1958, Psychological review.
[45] Alejandro Alvaro Ramírez-Acosta,et al. Forward-backward visual saliency propagation in Deep NNs vs internal attentional mechanisms , 2019, 2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA).
[46] Peter E. Hart,et al. Nearest neighbor pattern classification , 1967, IEEE Trans. Inf. Theory.
[47] N. Tzourio-Mazoyer,et al. Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain , 2002, NeuroImage.
[48] Martin T. Hagan,et al. Backpropagation Through Time for General Dynamic Networks , 2008, IC-AI.
[49] B. Kapralos,et al. I An Introduction to Digital Image Processing , 2022 .
[50] Razvan Pascanu,et al. On the difficulty of training recurrent neural networks , 2012, ICML.
[51] Jenny Benois-Pineau,et al. Classification of Alzheimer Disease on Imaging Modalities with Deep CNNs Using Cross-Modal Transfer Learning , 2018, 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS).
[52] Jenny Benois-Pineau,et al. 3D CNN-based classification using sMRI and MD-DTI images for Alzheimer disease studies , 2018, ArXiv.
[53] Koen E. A. van de Sande,et al. Selective Search for Object Recognition , 2013, International Journal of Computer Vision.
[54] Marvin Minsky,et al. Perceptrons: An Introduction to Computational Geometry, Expanded Edition , 1987 .
[55] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[56] H. Braak,et al. Neuropathological stageing of Alzheimer-related changes , 2004, Acta Neuropathologica.
[57] Patrick Gros,et al. Temporal structure analysis of broadcast tennis video using hidden Markov models , 2003, IS&T/SPIE Electronic Imaging.
[58] Juergen Luettin,et al. Fast Face Detection using MLP and FFT , 1999 .
[59] Jenny Benois-Pineau,et al. Comparative study of visual saliency maps in the problem of classification of architectural images with Deep CNNs , 2018, 2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA).
[60] Jitendra Malik,et al. Parsing Images of Architectural Scenes , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[61] Andrew J. Viterbi,et al. Error bounds for convolutional codes and an asymptotically optimum decoding algorithm , 1967, IEEE Trans. Inf. Theory.
[62] Yann LeCun,et al. Signature Verification Using A "Siamese" Time Delay Neural Network , 1993, Int. J. Pattern Recognit. Artif. Intell..
[63] Patrick Le Callet,et al. Visual Content Indexing and Retrieval with Psycho-Visual Models , 2017, Multimedia Systems and Applications.
[64] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[65] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[66] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[67] Bernhard E. Boser,et al. A training algorithm for optimal margin classifiers , 1992, COLT '92.
[68] P. Basser,et al. MR diffusion tensor spectroscopy and imaging. , 1994, Biophysical journal.
[69] Y. Nesterov. A method for solving the convex programming problem with convergence rate O(1/k^2) , 1983 .
[70] Surya Ganguli,et al. Identifying and attacking the saddle point problem in high-dimensional non-convex optimization , 2014, NIPS.
[71] Tomas Piatrik,et al. Fusion in Computer Vision: Understanding Complex Visual Content , 2014 .
[72] Vladimir Vapnik,et al. Principles of Risk Minimization for Learning Theory , 1991, NIPS.
[73] Yll Haxhimusa,et al. Architectural Style Classification of Building Facade Windows , 2011, ISVC.
[74] Lauge Sørensen,et al. Early detection of Alzheimer's disease using MRI hippocampal texture , 2016, Human brain mapping.
[75] Jenny Benois-Pineau,et al. Hierarchical Hidden Markov Model in detecting activities of daily living in wearable videos for studies of dementia , 2011, Multimedia Tools and Applications.
[76] Yee-Hong Yang,et al. Alzheimer's disease: 3-Dimensional MRI texture for prediction of conversion from mild cognitive impairment , 2018, Alzheimer's & dementia.
[77] Rob Fergus,et al. Visualizing and Understanding Convolutional Networks , 2013, ECCV.
[78] Paul A. Viola,et al. Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[79] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[80] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[81] David L. Neuhoff,et al. The Viterbi algorithm as an aid in text recognition (Corresp.) , 1975, IEEE Trans. Inf. Theory.
[82] L. Baum,et al. A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains , 1970 .
[83] Michael Dorr,et al. Space-Variant Descriptor Sampling for Action Recognition Based on Saliency and Eye Movements , 2012, ECCV.
[84] W S McCulloch,et al. A logical calculus of the ideas immanent in nervous activity , 1990, The Philosophy of Artificial Intelligence.
[85] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[86] Yanchun Zhang,et al. Historic Chinese Architectures Image Retrieval by SVM and Pyramid Histogram of Oriented Gradients Features , 2010 .
[87] George Cybenko,et al. Approximation by superpositions of a sigmoidal function , 1989, Math. Control. Signals Syst..
[88] Bram van Ginneken,et al. A survey on deep learning in medical image analysis , 2017, Medical Image Anal..
[89] C. Jack,et al. Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment , 1999, Neurology.
[90] Nick C Fox,et al. The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods , 2008, Journal of magnetic resonance imaging : JMRI.
[91] Pietro Perona,et al. Graph-Based Visual Saliency , 2006, NIPS.
[92] R. Sablatnig,et al. Classification of gothic and baroque architectural elements , 2012, 2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP).
[93] Tom Schaul,et al. No more pesky learning rates , 2012, ICML.
[94] Jenny Benois-Pineau,et al. Perceptual modeling in the problem of active object recognition in visual scenes , 2016, Pattern Recognit..
[95] Jenny Benois-Pineau,et al. Dropping Activations in Convolutional Neural Networks with Visual Attention Maps , 2019, 2019 International Conference on Content-Based Multimedia Indexing (CBMI).
[96] Anqi Qiu,et al. CSF and Brain Structural Imaging Markers of the Alzheimer's Pathological Cascade , 2012, PloS one.
[97] Abraham Montoya Obeso,et al. Image annotation for Mexican buildings database , 2016, Optical Engineering + Applications.
[98] Frank Rosenblatt,et al. PRINCIPLES OF NEURODYNAMICS. PERCEPTRONS AND THE THEORY OF BRAIN MECHANISMS , 1963 .
[99] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[100] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.