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133.
Boosted Bayesian network classifiers 总被引:2,自引:0,他引:2
The use of Bayesian networks for classification problems has received a significant amount of recent attention. Although computationally
efficient, the standard maximum likelihood learning method tends to be suboptimal due to the mismatch between its optimization
criteria (data likelihood) and the actual goal of classification (label prediction accuracy). Recent approaches to optimizing
classification performance during parameter or structure learning show promise, but lack the favorable computational properties
of maximum likelihood learning. In this paper we present boosted Bayesian network classifiers, a framework to combine discriminative
data-weighting with generative training of intermediate models. We show that boosted Bayesian network classifiers encompass
the basic generative models in isolation, but improve their classification performance when the model structure is suboptimal.
We also demonstrate that structure learning is beneficial in the construction of boosted Bayesian network classifiers. On
a large suite of benchmark data-sets, this approach outperforms generative graphical models such as naive Bayes and TAN in
classification accuracy. Boosted Bayesian network classifiers have comparable or better performance in comparison to other
discriminatively trained graphical models including ELR and BNC. Furthermore, boosted Bayesian networks require significantly
less training time than the ELR and BNC algorithms. 相似文献
134.
Detailed Real-Time Urban 3D Reconstruction from Video 总被引:2,自引:0,他引:2
M. Pollefeys D. Nistér J.-M. Frahm A. Akbarzadeh P. Mordohai B. Clipp C. Engels D. Gallup S.-J. Kim P. Merrell C. Salmi S. Sinha B. Talton L. Wang Q. Yang H. Stewénius R. Yang G. Welch H. Towles 《International Journal of Computer Vision》2008,78(2-3):143-167
The paper presents a system for automatic, geo-registered, real-time 3D reconstruction from video of urban scenes. The system
collects video streams, as well as GPS and inertia measurements in order to place the reconstructed models in geo-registered
coordinates. It is designed using current state of the art real-time modules for all processing steps. It employs commodity
graphics hardware and standard CPU’s to achieve real-time performance. We present the main considerations in designing the
system and the steps of the processing pipeline. Our system extends existing algorithms to meet the robustness and variability
necessary to operate out of the lab. To account for the large dynamic range of outdoor videos the processing pipeline estimates
global camera gain changes in the feature tracking stage and efficiently compensates for these in stereo estimation without
impacting the real-time performance. The required accuracy for many applications is achieved with a two-step stereo reconstruction
process exploiting the redundancy across frames. We show results on real video sequences comprising hundreds of thousands
of frames. 相似文献
135.
Image preview is a convenient way to browse large or multiple images on small displays. However, current signal-level image
resampling algorithms may remove many features of interest in the preview image. In this paper, we propose perceptual image
preview which retains more perceptual features such that users can inspect features of interest by viewing the preview image
only and without zooming in. This technology has two components, structure enhancement and perceptual feature visualization.
Structure enhancement enhances the image structure while suppressing subtle details using a gradient modulation method, thus
making the succedent perceptual features more apparent. For perceptual feature visualization, features of interest detected
in the picture is visualized on the structure enhanced preview image. We demonstrate with two examples of most commonly used image quality features, image blur and noise. The effectiveness of the proposed method is validated
by experimental results. 相似文献
136.
结构分析是印刷体数学公式识别系统的关键部分,目前相关研究还很欠缺.针对结构分析的基准线方法的一些不足之处,提出一种逆向匹配方法,并结合语义规则对分析后的数学公式进行后处理.实验表明,提出的方法能够有效提高数学公式结构分析的正确率和鲁棒性. 相似文献
137.
基于对象的垂直搜索引擎越来越受到人们的关注,结合这一热门技术,详细介绍了机票比价搜索系统的设计与实现.该系统基于垂直搜索的思想,采用模板方式的网页抽取技术,提供给用户全面的机票信息. 相似文献
138.
139.
重载电力机车车体的设计与强度计算 总被引:2,自引:0,他引:2
针对自主设计研发的总功率为9600kW的6轴新型重载电力机车的突出问题,要解决在纵向牵引制动载荷增加的条件下,车体挠度明显增大、工作应力大大增加,同时又要合理减重.为此,利用ANSY有限元软件,针对新型重载电力机车的特点,首先借鉴国内外车体结构技术标准和重载机车的实际运行状态研究确定了机车的载荷工况,并对车体结构的强度和剐度进行了有限元分析;根据各种工况下应力的分布特点,并基于抗疲劳破坏的观点,分析了车体结构所存在的问题,并提出了相应的改进方案.比较分析的结果表明,改进方案既保证了车体的刚度与强度,又收到了比较明显的减重效果,是一种比较合理的改进结构. 相似文献
140.