机构

• 力学研究所 [2]
• 长春光学精密机械与物... [1]
• 成都生物研究所 [1]

采集方式

• OAI收割 [4]

内容类型

• 期刊论文 [3]
• 会议论文 [1]

发表日期

• 2021 [1]
• 2015 [1]
• 2011 [1]
• 2007 [1]

学科主题

• Materials ... [1]
• Neuroscien... [1]

筛选

浏览/检索结果: 共4条，第1-4条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Mode Localization and Eigenfrequency Curve Veerings of Two Overhanged Beams 期刊论文  OAI收割 MICROMACHINES, 2021, 卷号: 12, 期号: 3, 页码: 19 作者:  Zhang Y(张吟);  Petrov Yuri;  Zhao YP(赵亚溥)   |  收藏  |  浏览/下载：18/0  |  提交时间：2021/05/06 overhang  mode localization  eigenfrequency curve veering  mode splitting   Altered intrinsic brain activity in patients with familial cortical myoclonic tremor and epilepsy: An amplitude of low-frequency fluctuation study 期刊论文  OAI收割 JOURNAL OF THE NEUROLOGICAL SCIENCES, 2015, 卷号: 351, 期号: 42371, 页码: 133-139 作者:  Wang, Pu;  Luo, Cheng;  Dong, Li;  Bin, Yi;  Ma, Shi 收藏  |  浏览/下载：38/0  |  提交时间：2016/12/22 RESTING-STATE FMRI  LOBE EPILEPSY  DEFAULT MODE  BOLD SIGNAL  GENE  SCHIZOPHRENIA  LOCALIZATION  MUTATIONS  CHILDREN  FEATURES   BUCKLING LOADS AND EIGENFREQUENCIES OF A BRACED BEAM RESTING ON AN ELASTIC FOUNDATION 期刊论文  OAI收割 Acta Mechanica Solida Sinica, 2011, 卷号: 24, 期号: 6, 页码: 510-518 作者:  Zhang Y(张吟);  Liu Y;  Chen P;  Murphy KD 收藏  |  浏览/下载：34/0  |  提交时间：2012/04/01 Beam  Elastic Foundation  Buckling  Eigenfrequency  Curve Crossing  Curve Veering  Viscous Layer  Mode Localization  Veering Phenomena  Eigenvalue Loci  Thin-Film  Curve  Alloy  Polymer   Integrated intensity, orientation code and spatial information for robust tracking (EI CONFERENCE) 会议论文  OAI收割 2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007, May 23, 2007 - May 25, 2007, Harbin, China 作者:  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y. 收藏  |  浏览/下载：26/0  |  提交时间：2013/03/25 real-time tracking is an important topic in computer vision. Conventional single cue algorithms typically fail outside limited tracking conditions. Integration of multimodal visual cues with complementary failure modes allows tracking to continue despite losing individual cues. In this paper  we combine intensity  orientation codes and special information to form a new intensity-orientation codes-special (IOS) feature to represent the target. The intensity feature is not affected by the shape variance of object and has good stability. Orientation codes matching is robust for searching object in cluttered environments even in the cases of illumination fluctuations resulting from shadowing or highlighting  etc The spatial locations of the pixels are used which allow us to take into account the spatial information which is lost in traditional histogram. Histograms of intensity  orientation codes and spatial information are employed for represent the target Mean shift algorithm is a nonparametric density estimation method. The fast and optimal mode matching can be achieved by this method. In order to reduce the compute time  we use the mean shift procedure to reach the target localization. Experiment results show that the new method can successfully cope with clutter  partial occlusions  illumination change  and target variations such as scale and rotation. The computational complexity is very low. If the size of the target is 3628 pixels  it only needs 12ms to complete the method. 2007 IEEE.