论文信息 - Image/Video Semantic Analysis by Semi-Supervised Learning - 字舞流文

Image/Video Semantic Analysis by Semi-Supervised Learning

Meng Wang | Jinhui Tang | Xian-Sheng Hua | Xiansheng Hua | Meng Wang | Jinhui Tang

[1] Xian-Sheng Hua,et al. Video Annotation Based on Kernel Linear Neighborhood Propagation , 2008, IEEE Transactions on Multimedia.

[2] Tao Mei,et al. Video annotation based on temporally consistent Gaussian random field , 2007 .

[3] Mikhail Belkin,et al. Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples , 2006, J. Mach. Learn. Res..

[4] Jingrui He,et al. Generalized Manifold-Ranking-Based Image Retrieval , 2006, IEEE Transactions on Image Processing.

[5] John R. Smith,et al. Large-scale concept ontology for multimedia , 2006, IEEE MultiMedia.

[6] John R. Smith,et al. Metadata standards roundup , 2006, IEEE Multimedia.

[7] Zhi-Hua Zhou,et al. Enhancing relevance feedback in image retrieval using unlabeled data , 2006, ACM Trans. Inf. Syst..

[8] Thomas Hofmann,et al. Semi-supervised Learning on Directed Graphs , 2004, NIPS.

[9] Miguel Á. Carreira-Perpiñán,et al. Proximity Graphs for Clustering and Manifold Learning , 2004, NIPS.

[10] Bernhard Schölkopf,et al. Learning with Local and Global Consistency , 2003, NIPS.

[11] Matthias Hein,et al. Measure Based Regularization , 2003, NIPS.

[12] Ayhan Demiriz,et al. Semi-Supervised Support Vector Machines , 1998, NIPS.

[13] Jitendra Malik,et al. Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..