LIG-MRIM at NTCIR-12 Lifelog Semantic Access Task
暂无分享,去创建一个
[1] Georges Quénot,et al. TRECVID 2015 - An Overview of the Goals, Tasks, Data, Evaluation Mechanisms and Metrics , 2011, TRECVID.
[2] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[3] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Omer Levy,et al. word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method , 2014, ArXiv.
[5] Georges Quénot,et al. A factorized model for multiple SVM and multi-label classification for large scale multimedia indexing , 2015, 2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI).
[6] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[7] Georges Quénot,et al. Descriptor optimization for multimedia indexing and retrieval , 2013, Multimedia Tools and Applications.
[8] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[9] Rami Albatal,et al. NTCIR Lifelog: The First Test Collection for Lifelog Research , 2016, SIGIR.
[10] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[11] Philipp Scholl,et al. Adaptivity , 2011, IATEL - Interdisciplinary Approaches to Technology-enhanced Learning.
[12] Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, National Center of Sciences, Tokyo, Japan, June 7-10, 2016 , 2016, NTCIR.