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Neurocomputing, Volume 259
Volume 259, October 2017
- Mingxia Liu, Liujuan Cao, Feng Lu, Yi Zhen:
Multimodal media data understanding and analysis. 1-2
- Eryun Liu, Qijun Zhao:
Encrypted domain matching of fingerprint minutia cylinder-code (MCC) with l1 minimization. 3-13 - Yunlong Yu, Zhong Ji, Jichang Guo, Yanwei Pang:
Zero-shot learning with regularized cross-modality ranking. 14-20 - Pradeep Kumar, Himaanshu Gauba, Partha Pratim Roy, Debi Prosad Dogra:
A multimodal framework for sensor based sign language recognition. 21-38 - Le An, Xiaojing Chen, Songfan Yang:
Multi-graph feature level fusion for person re-identification. 39-45 - Tao Feng, Xia Mao:
Multimodal data fusion for SB-JPALS status prediction under antenna motion fault mode. 46-54 - Ke Li, Yalei Wu, Yu Nan, Pengfei Li, Yang Li:
Hierarchical multi-class classification in multimodal spacecraft data using DNN and weighted support vector machine. 55-65 - Lumei Su, Min Xu:
Sleep comfort analysis using a part-based mixture model with nighttime infrared video. 66-75 - Xiabing Zhou, Haikun Hong, Xingxing Xing, Kaigui Bian, Kunqing Xie, Mingliang Xu:
Discovering spatio-temporal dependencies based on time-lag in intelligent transportation data. 76-84 - Weiwei Wan, Feng Lu, Zepei Wu, Kensuke Harada:
Teaching robots to do object assembly using multi-modal 3D vision. 85-93
- Naty Ould Sidaty, Mohamed-Chaker Larabi, Abdelhakim Saadane:
Toward an audiovisual attention model for multimodal video content. 94-111 - Lishan Qiao, Limei Zhang, Zhonggui Sun, Xueyan Liu:
Selecting label-dependent features for multi-label classification. 112-118 - Shaodi You, Diming Zhang:
Think locally, fit globally: Robust and fast 3D shape matching via adaptive algebraic fitting. 119-129 - Dan Zhang, Qi Zhu, Daoqiang Zhang:
Multi-modal dimensionality reduction using effective distance. 130-139 - Ziping Ma, Jinlin Ma, Bin Xiao, Ke Lu:
A 3D polar-radius-moment invariant as a shape circularity measure. 140-145 - Chen Zu, Linling Zhu, Daoqiang Zhang:
Iterative sparsity score for feature selection and its extension for multimodal data. 146-153 - Qian Zhang, Changhe Tu:
High resolution non-rigid dense matching based on optimized sampling. 154-158
- Rodrigo Tripodi Calumby, Marcos André Gonçalves, Ricardo da Silva Torres:
Diversity-based interactive learning meets multimodality. 159-175 - Anan Liu, Wenhui Li, Weizhi Nie, Yuting Su:
3D models retrieval algorithm based on multimodal data. 176-182 - Shuhui Bu, Lei Wang, Pengcheng Han, Zhenbao Liu, Ke Li:
3D shape recognition and retrieval based on multi-modality deep learning. 183-193 - Ying Jiang, Yanjiang Wang:
Psychologically inspired visual information storage and retrieval modeling for multiclass image classification. 194-200
- Yitian Zhao, Jingliang Zhao, Jian Yang, Yonghuai Liu, Yifan Zhao, Yalin Zheng, Likun Xia, Yongtian Wang:
Saliency driven vasculature segmentation with infinite perimeter active contour model. 201-209 - Xiaoming Xi, Hui Xu, Hao Shi, Chunyun Zhang, Hong Yu Ding, Guang Zhang, Yuchun Tang, Yilong Yin:
Robust texture analysis of multi-modal images using Local Structure Preserving Ranklet and multi-task learning for breast tumor diagnosis. 210-218 - Yuyao Zhang, Hongjiang Wei:
Atlas construction of cardiac fiber architecture using a multimodal registration approach. 219-225
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