CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses.With its high quality and low cost,it provides an exceptional value for students,acade...CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses.With its high quality and low cost,it provides an exceptional value for students,academics and industry researchers.Overview The Doctoral Consortium provides a unique opportunity for students,who are close to finishing or who have recently finished their doctorate degree,to interact with experienced researchers in computer vision.A senior member of the community will be assigned as a mentor for each student based on the student's preference or similarity of research interests.All students and mentors will attend a Doctoral Consortium meeting/luncheon,giving the students an opportunity to discuss their ongoing research and career plans with their mentor.In addition,each student will present a poster,either describing their thesis research or a single recent paper,to the other participants and their mentors.展开更多
An algorithm was proposed to fast recognize three types of underwater micro-terrain, i.e. the level, the gradient and the uneven. With pendulum single beam bathymeter, the hard level concrete floor, the random uneven ...An algorithm was proposed to fast recognize three types of underwater micro-terrain, i.e. the level, the gradient and the uneven. With pendulum single beam bathymeter, the hard level concrete floor, the random uneven floor and the gradient wood panel (8-) were ultrasonically detected 20 times, respectively. The results show that the algorithm is right from fact that the first clustering values of the uneven are all less than the threshold value of 60.0% that is obtained by the level and gradient samples. The algorithm based on the dynamic clustering theory can effectively eliminate the influences of the exceptional elevation values produced by the disturbances resulted from the grazing angle, the characteristic of bottom material and environmental noises, and its real-time capability is good. Thus, the algorithm provides a foundation for the next restructuring of the micro-terrain.展开更多
Exceptional rules are often ignored because of their small support. However, they have high confidence, so they are useful sometimes. A new algorithm for mining exceptional rules is presented, which creates a large it...Exceptional rules are often ignored because of their small support. However, they have high confidence, so they are useful sometimes. A new algorithm for mining exceptional rules is presented, which creates a large itemset from a relatively small database and scans the whole database only one time to generate all exceptional rules. This algorithm is proved to be quick and effective through its application in a mushroom database.展开更多
文摘CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses.With its high quality and low cost,it provides an exceptional value for students,academics and industry researchers.Overview The Doctoral Consortium provides a unique opportunity for students,who are close to finishing or who have recently finished their doctorate degree,to interact with experienced researchers in computer vision.A senior member of the community will be assigned as a mentor for each student based on the student's preference or similarity of research interests.All students and mentors will attend a Doctoral Consortium meeting/luncheon,giving the students an opportunity to discuss their ongoing research and career plans with their mentor.In addition,each student will present a poster,either describing their thesis research or a single recent paper,to the other participants and their mentors.
基金Project(50474052) supported by the National Natural Foundation of China
文摘An algorithm was proposed to fast recognize three types of underwater micro-terrain, i.e. the level, the gradient and the uneven. With pendulum single beam bathymeter, the hard level concrete floor, the random uneven floor and the gradient wood panel (8-) were ultrasonically detected 20 times, respectively. The results show that the algorithm is right from fact that the first clustering values of the uneven are all less than the threshold value of 60.0% that is obtained by the level and gradient samples. The algorithm based on the dynamic clustering theory can effectively eliminate the influences of the exceptional elevation values produced by the disturbances resulted from the grazing angle, the characteristic of bottom material and environmental noises, and its real-time capability is good. Thus, the algorithm provides a foundation for the next restructuring of the micro-terrain.
基金This project was supported by the National Natural Science Foundation of China (No. 69835010).
文摘Exceptional rules are often ignored because of their small support. However, they have high confidence, so they are useful sometimes. A new algorithm for mining exceptional rules is presented, which creates a large itemset from a relatively small database and scans the whole database only one time to generate all exceptional rules. This algorithm is proved to be quick and effective through its application in a mushroom database.
