Cummins M and Newman P. FAB-MAP: Probabilistic localization and mapping in the space of appearance[J].The International Journal of Robotics Research.2008, 27(6):647-665[2]Zhong W, Qifa K, Michael I, and Jian S. Bundling features for large-scale partial-duplicate web image search[C]. IEEE Conference on Computer Vision and Pattern Recognition, Miami, 2009: 25-32.[3]李志欣, 施智平, 李志清, 史忠植. 图像检索中语义映射方法综述[J]. 计算机辅助设计与图形学学报, 2008, 20(8): 1085-1096.Li Zhi-xin, Shi Zhi-ping, Li Zhi-qing, and Shi Zhong-zhi. A survey of semantic mapping in image retrieval[J].Journal of Computer Aided Design Computer Graphics.2008, 20(8):1085-1096[4]石跃祥, 朱东辉, 蔡自兴, Benhabib B. 图像语义特征的抽取方法及其应用[J].计算机工程.2007, 33(19):177-179Shi Yue-xiang, Zhu Dong-hui, Cai Zi-xing, and Benhabib B. Extraction of image semantic attributes and its application[J]. Computer Engineering, 2007, 33(19): 177-179.[5]Rasiwasia N and Vasconcelos N. Scene classification with low-dimensional semantic spaces and weak supervision[C]. IEEE Conference on Computer Vision and Pattern Recognition, Alaska, 2008: 1-6.[6]Bosch A, Zisserman A, and Munoz X. Scene classification via pLSA [C]. European Conference on Computer Vision, Austria, 2006: 517-530.[7]Li Fei-fei and Perona P. A Bayesian hierarchical model for learning natural scene categories[C]. IEEE Conference on Computer Vision and Pattern Recognition, San Diego, 2005: 524-531.[8]Lazebnik S, Schmid C, and Ponce J. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories[C]. IEEE Conference on Computer Vision and Pattern Recognition, New York, 2006, 2: 2169-2178.[9]Kim S and Kweon I S. Simultaneous classification and visual word selection using entropy-based minimum description length[C]. IEEE International Conference of Pattern Recognition, Hong Kong, 2006: 650-653.[10]Liu Yang, Rong Jin, Sukthankar R, and Jurie F. Unifying discriminative visual codebook generation with classifier training for object category recognition[C]. IEEE Conference on Computer Vision and Pattern Recognition, Alaska, 2008: 1-8.[11]Farquhar J, Szedmak S, Meng H, and Taylor J S. Improving bags-of-keypoints image categorization[R]. Tech report, University of Southampton, 2005.[12]Moosmann F, Triggs B, and Jurie F. Fast discriminative visual codebooks using randomized clustering forests[C]. In Neural Information Processing Systems, Vancouver, 2006: 985-992.[13]Jiang Yu-gang, Chong-Wah N, and Yang Jun. Towards optimal bag-of-features for object categorization and semantic video retrieval[C]. ACM International Conference on Image and Video Retrieval, New York, 2007: 494-501.[14]Linde Y, Buzo A, and Gray R M. An algorithm for vector quantizer design[J].IEEE Transactions on Communications.1980, 28(1):84-95[15]Kenney C, Manjunath B S, and Zuliani M. A condition number for point matching with application to registration and post-registration error estimation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence.2003, 25(11):1437-1454[16]马瑞,王家廞,宋亦旭. 基于局部线性嵌入(LLE)非线性降维的多流形学习[J]. 清华大学学报(自然科学版), 2008, 48(4): 582-585.Ma Rui, Wang Jia-xin, and Song Yi-xu. Multi-manifold learning using locally linear embedding (LLE) nonlinear dimensionality reduction[J]. Journal of Tsinghua University (Science and Technology), 2008, 48(4): 582-585.[17]Wang Jing, Zhang Zhen-yue, and Zha Hong-yuan. Adaptive manifold learning[C]. Advances in Neural Information Processing Systems, Cambridge, 2005: 1473-1480.[18]Frey B J and Dueck D. Clustering by passing messages between data points[J].Science.2007, 315:972-976
|