This report describes a method to detect and recognize objects from 3D laser radar data. The method is based on local descriptors computed from triplets of planes that are estimated from the data set. Each descriptor that is computed on query data is compared with descriptors computed on object model data to get a hypothesis of object class and pose. An hypothesis is either verified or rejected...

This paper focuses on the design of IBGP networks, which are very important to the reliability and stability of Internet. Although several metrics have been presented to measure the robustness of IBGP networks, they only considered the impact of route reflection networks on the control plane. A robust network should have low sensitivity to traffic load variations. So we propose a new metric to ...

We consider the problem of finding the Pareto front of the expected deployment cost of wireless caches in the plane and the expected retrieval cost of a client requesting data from the caches. The data is allocated at the caches according to partitioning and coding strategies. We show that under coding, it is optimal to deploy many caches with low storage capacity. For partitioning, we derive a...

abstract to study the effects of four types of mulches including wood chips, municipal compost, sawdust and gravel in three different thicknesses on growth of platanus orientalis during two years, an experiment was conducted in mashhad area with semi-arid climate. the research was conducted as split plot based on a completely randomized block design with four replications. treatments included c...

this study focuses on the optimization of the plane structure. sequential quadratic programming (sqp) will be utilized, which is one of the most efficient methods for solving nonlinearly constrained optimization problems. a new formulation for the second order sensitivity analysis of the two-dimensional finite element will be developed. all the second order required derivatives will be calculat...

In this paper, we propose a robust and efficient method to integrate the multi-view panoramic range data using the global features acquired from panorama range data. In our approach, the planes with similar normal vectors are handled as one group, and multiple plane groups are extracted from the multi-view panoramic range data. Next, the transformation ( r e tation and translation) parameters b...

The research of imbalance data classification is the hot point in the field of data mining. Conventional classifiers are not suitable to the imbalanced learning tasks since they tend to classify the instances to the majority class which is the less important class. This paper pays close attention to the uniqueness of uneven data distribution in imbalance classification problems. Without change ...

Many areas of science and engineering rely on our ability to efficiently analyze large data sets from a four-dimensional (4d) space-time domain. These data sets represent the evolution through time of quantities such as temperature, pressure, and flow velocity that are measured or computed on a dense set of sample points in three-dimensional (3d) space. At a high-performance computing center (H...

Network virtualization which enables the coexistence of multiple networks in shared infrastructure adds extra requirements on data plane of router. Software based virtual data plane is inferior in performance, whereas, hardware based virtual data plane is hard to achieve flexibility and scalability. In this paper, using FPGA (Field Program Gate Array) and TCAM (Ternary Content Addressable Memor...