Multi-point tracking is a challenging task that involves detecting points in the scene and them across sequence of frames. Computing detection-based measures like F-measure on frame-by-frame basis not sufficient to assess overall performance, as it does interpret performance temporal domain. The main evaluation metric available comes from Multi-object (MOT) methods benchmark datasets such KITTI...

Content-based image retrieval has been a hot topic among computer vision researchers for long time. There have many advances over the years, one of recent ones being deep metric learning, inspired by success neural networks in machine learning tasks. The goal is to extract good high-level features from pixel data using networks. These provide useful abstractions, which can enable algorithms per...

∧ 3D shape retrieval and clustering is of current interest in several different fields, including mechanical engineering. Several new shape representations for 3D objects are continuing to emerge. Most shape representations are embedded in a variety of feature spaces. However, some of the recently reported shape representations are embedded in arbitrary metric spaces, i.e. distance spaces, rath...

In order to improve Mean Square Error of its reliance on reference images when evaluating image sharpness, the no-reference metric based on algebraic multi-grid is proposed. The proposed metric first reconstructs the original image by Algebraic Multi-grid (AMG), then compute the Mean Square Error between original image and reconstructed image, the result represents image sharpness. Experiments ...

this paper presents a hybrid technique for simultaneous estimation of parameter and function in inverse heat conduction problems. no prior information is used for the functional form of the heat flux in the present study. the scheme presented here is a combination of two different classical methods: the variable metric method (vmm) and gauss method (gm). the determination of the unknown thermal...

In this paper, under some appropriate conditions, we prove some $Delta$ and strong convergence theorems of endpoints for multi-valued nonexpansive mappings using modified Agarwal-O'Regan-Sahu iterative process in the general setting of 2-uniformly convex hyperbolic spaces. Our results extend and unify some recent results of the current literature.

   The performance of a decision making unit (DMU) can be evaluated in either across-sectional or a time-series manner, and data envelopment analysis (DEA) is a useful method for both types of evaluation. The Malmquist productivity index (MPI) evaluates the change in efficiency of a DMU between two time periods. It is defined as the product of the Catch-up and Frontier-shift terms. In this pape...

What are the strategies people adopt when deciding how to delegated tasks to agents when the agents’ reputation and productivity information is available? How effective are these strategies under different conditions? These questions are important since they have significant implications to the ongoing research of reputation aware task delegation in multi-agent systems (MASs). In this paper, we...