Landmark Classification With Hierarchical Multi-Modal Exemplar Feature

Keywords

Landmark, Computer science, Discriminative model, Artificial intelligence, Pattern recognition (psychology)

References

• Managing Gigabytes: Compressing and Indexing Documents and ImagesIan H. Witten, Alistair Moffat, Tim Bell — 1999
• A Tutorial on Principal Component AnalysisJonathon Shlens — 2014
• 3D visual phrases for landmark recognitionQiang Hao, Rui Cai, Zhiwei Li — 2012
• Location Discriminative Vocabulary Coding for Mobile Landmark SearchRongrong Ji, Ling‐Yu Duan, Jie Chen — 2011
• Efficient mobile landmark recognition based on saliency-aware scalable vocabulary treeKim–Hui Yap, Zhen Li, Dajiang Zhang — 2012
• Ensemble of exemplar-SVMs for object detection and beyondTomasz Malisiewicz, Abhinav Gupta, Alexei A. Efros — 2011
• Moment invariants for recognition under changing viewpoint and illuminationFlorica Mindru, Tinne Tuytelaars, Luc Van Gool — 2004
• DLMSearch: diversified landmark search by photoJunfeng Ye, Jia Chen, Zejia Chen — 2012
• Efficient additive kernels via explicit feature mapsAndrea Vedaldi, Andrew Zisserman — 2010
• Enhanced 3-D Modeling for Landmark Image ClassificationXian Xiao, Changsheng Xu, Jinqiao Wang — 2012
• Multiple kernel learning, conic duality, and the SMO algorithmFrancis Bach, Gert Lanckriet, Michael I. Jordan — 2004
• Author Topic Model-Based Collaborative Filtering for Personalized POI RecommendationsShuhui Jiang, Xueming Qian, Jialie Shen — 2015
• A comparative study of texture measures with classification based on featured distributionsTimo Ojala, Matti Pietikäinen, David Harwood — 1996
• Mobile Landmark Search with 3D ModelsWeiqing Min, Changsheng Xu, Min Xu — 2014
• Multiple-Kernel, Multiple-Instance Similarity Features for Efficient Visual Object DetectionChensheng Sun, Kin‐Man Lam — 2013
• Tour the world: a technical demonstration of a web-scale landmark recognition engineYan-Tao Zheng, Ming Zhao, Yang Song — 2009
• What makes Paris look like Paris?Carl Doersch, Saurabh Singh, Abhinav Gupta — 2012
• Discriminative Soft Bag-of-Visual Phrase for Mobile Landmark RecognitionTao Chen, Kim–Hui Yap, Dajiang Zhang — 2014
• Content-Based Visual Landmark Search via Multimodal Hypergraph LearningLei Zhu, Jialie Shen, Hai Jin — 2015
• Context-Aware Discriminative Vocabulary Learning for Mobile Landmark RecognitionTao Chen, Kim–Hui Yap — 2013

Cited by

• Improved image GPS location estimation by mining salient featuresJing Li, Xueming Qian, Ke Lan — 2015
• Effective Multi-Query Expansions: Robust Landmark RetrievalYang Wang, Xuemin Lin, Lin Wu — 2015
• On very large scale test collection for landmark image search benchmarkingZhiyong Cheng, Jialie Shen — 2016
• Mobile multi-view object image searchFatih Çalışır, Muhammet Baştan, Özgür Ulusoy — 2015
• Unsupervised Visual Hashing with Semantic Assistant for Content-Based Image RetrievalLei Zhu, Jialie Shen, Liang Xie — 2017
• 6-DOF Image Localization From Massive Geo-Tagged Reference ImagesYafei Song, Xiaowu Chen, Xiaogang Wang — 2016
• Diversified Visual Attention Networks for Fine-Grained Object ClassificationBo Zhao, Xiao Wu, Jiashi Feng — 2016
• Learning Compact Visual Representation with Canonical Views for Robust Mobile Landmark SearchLei Zhu, Jialie She, Xiaobai Liu — 2016
• Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark RetrievalYang Wang, Xuemin Lin, Lin Wu — 2017
• Coupled local-global adaptation for multi-source transfer learningJieyan Liu, Jingjing Li, Ke Lü — 2018
• View-based 3D model retrieval via supervised multi-view feature learningAn-An Liu, Yang Shi, Weizhi Nie — 2018
• Multimodal Retrieval with Diversification and Relevance Feedback for Tourist Attraction ImagesDuc‐Tien Dang‐Nguyen, Luca Piras, Giorgio Giacinto — 2017
• Weakly supervised detection with decoupled attention-based deep representationWenhui Jiang, Zhicheng Zhao, Fei Su — 2017
• A Multiview Learning Framework With a Linear Computational CostXiaowei Xue, Feiping Nie, Zhihui Li — 2018
• Action detection based on tracklets with the two-stream CNNMinwen Zhang, Chenqiang Gao, Qiang Li — 2018
• Person re-identification by the asymmetric triplet and identification loss functionDe Cheng, Yihong Gong, Weiwei Shi — 2017
• Augmented Collaborative Filtering for Sparseness Reduction in Personalized POI RecommendationChaoran Cui, Jialie Shen, Liqiang Nie — 2017
• Exploring Consistent Preferences: Discrete Hashing with Pair-Exemplar for Scalable Landmark SearchLei Zhu, Zi Huang, Xiaojun Chang — 2017
• UFvH: Unified Feature Video Hashing for Near-Duplicate Video RetrievalXiushan Nie, Xiaoyu Li, Jiande Sun — 2017
• Effective lossless condensed representation and discovery of spatial co-location patternsLizhen Wang, Xuguang Bao, Hongmei Chen — 2018

Related papers

• Distances and directions are computed separately by honeybees in landmark-based searchKen Cheng — 1998
• Development of Landmark Knowledge at Decision PointsLin Wang, Weimin Mou, Xianghong Sun — 2014
• What makes a landmark effective? Sex differences in a navigation taskV. D. Chamizo, Clara A. Rodríguez, Irene Torres — 2014
• Autonomous landing of unmanned helicopter based on landmark's geometrical featureYingguang Hao — 2012
• Patent report1999
• Discriminative modeling by Boosting on Multilevel AggregatesJason J. Corso — 2008
• Ensemble feature selection with discriminative and representative properties for malware detectionXiaoyu Zhang, Shupeng Wang, Lei Zhang — 2016
• Boosting for feature selection for microarray data analysisGeoffrey R. Guile, Wenjia Wang — 2008
• Variable Subset Selection for Brain-Computer Interface - PCA-based Dimensionality Reduction and Feature SelectionN. S. Dias, M. Kamrunnahar, P. M. Mendes — 2009