Image Classification with Densely Sampled Image Windows and Generalized Adaptive Multiple Kernel Learning
文献类型：期刊论文
| 作者 | Yan, Shengye1; Xu, Xinxing2; Xu, Dong2; Lin, Stephen3; Li, Xuelong4
|
| 刊名 | ieee transactions on cybernetics
 |
| 出版日期 | 2015-03-01 |
| 卷号 | 45期号:3页码:395-404 |
| 关键词 | Adapted classifier image classification multiple kernel learning spatial pyramid |
| 英文摘要 | we present a framework for image classification that extends beyond the window sampling of fixed spatial pyramids and is supported by a new learning algorithm. based on the observation that fixed spatial pyramids sample a rather limited subset of the possible image windows, we propose a method that accounts for a comprehensive set of windows densely sampled over location, size, and aspect ratio. a concise high-level image feature is derived to effectively deal with this large set of windows, and this higher level of abstraction offers both efficient handling of the dense samples and reduced sensitivity to misalignment. in addition to dense window sampling, we introduce generalized adaptive l(p)-norm multiple kernel learning (ga-mkl) to learn a robust classifier based on multiple base kernels constructed from the new image features and multiple sets of prelearned classifiers from other classes. with ga-mkl, multiple levels of image features are effectively fused, and information is shared among different classifiers. extensive evaluation on benchmark datasets for object recognition (caltech256 and caltech101) and scene recognition (15scenes) demonstrate that the proposed method outperforms the state-of-the-art under a broad range of settings. |
| WOS标题词 | science & technology ; technology |
| 类目[WOS] | computer science, artificial intelligence ; computer science, cybernetics |
| 研究领域[WOS] | computer science |
| 关键词[WOS] | features ; recognition ; context ; scale |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000350146900004 |
| 公开日期 | 2015-07-28 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/24105]  |
| 专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
| 作者单位 | 1.Nanjing Univ Informat Sci & Technol, Nanjing 210044, Jiangsu, Peoples R China 2.Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore 3.Microsoft Res, Beijing 100080, Peoples R China 4.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr Opt Imagery Anal & Learning, Xian 710119, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yan, Shengye,Xu, Xinxing,Xu, Dong,et al. Image Classification with Densely Sampled Image Windows and Generalized Adaptive Multiple Kernel Learning[J]. ieee transactions on cybernetics,2015,45(3):395-404. |
| APA | Yan, Shengye,Xu, Xinxing,Xu, Dong,Lin, Stephen,&Li, Xuelong.(2015).Image Classification with Densely Sampled Image Windows and Generalized Adaptive Multiple Kernel Learning.ieee transactions on cybernetics,45(3),395-404. |
| MLA | Yan, Shengye,et al."Image Classification with Densely Sampled Image Windows and Generalized Adaptive Multiple Kernel Learning".ieee transactions on cybernetics 45.3(2015):395-404. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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