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Facial attractiveness computation is a challenging task because of the lack of labeled data and discriminative features. In this paper, an end-to-end label distribution learning (LDL) framework with deep convolutional neural network (CNN) and geometric features is proposed to meet these two challenges. Different from the previous work, we recast this task as an LDL problem. Compared with the single...
In mobile cloud computing environments, it's regarded as a good solution to augment the capability of the resource-constrained devices by offloading some of their computation-intensive applications to other more powerful surrogate devices to execute. However, because the nodes are usually connected via certain wireless technology and the nodes may change their locations from time to time, the connections...
Group recommender systems use various strategies to aggregate users' preferences into a common social welfare function which would maximize the satisfaction of all members. Group recommendation is essentially useful for websites, especially for social tagging systems. In this paper, we initially experiment with various rank aggregation strategies for group recommendation in social tagging systems...
The Chinese Internet, hosting the worlds largest population of Internet users, has largely remained as a black box due to the lack of large-scale measurement infrastructure and various other factors. In this paper, we characterize the Chinese Internet AS topology using measurements from both data and control planes. Our analysis emphasizes on the distinct characteristics of the regional network in...
Based on the principle of complex systems and software network design and implement a software network measurement platform, which based on the static structure of network. The software network measurement platform can calculate and analyze static macro topology characteristic value and metrics, finally through with commercial software Pajek contrast test and verify the correctness of the platform...
Reasonable metrics to measure machine performance are appropriate benchmarks for maintenance. The most popular machine performance metrics machine availability (MA) has been found that it is not suitable for all the situations. After scheduled downtime was excluded from the analysis, machine performance (MP) and machine failure (MF) were proposed. A case study demonstrates that the proposed two metrics...
To understand the spray characteristics that are related to the characteristics of economy, emission and the combustion of direct injection engines, the sprays into constant volume chamber within different back pressure value from a swirl type gasoline direct injection (GDI) injector were visualized. The spray development, spray penetration, spray cone angle, spray tip velocity and droplet characteristics...
In standard backfill algorithms, a job will be terminated immediately it has been processed for its estimated runtime. This drives users not to provide tight estimates to make their jobs to be scheduled earlier but at the risk of being killed. This paper presents an enhanced mechanism to tolerate underestimated jobs by continuing processing them on condition that they will not delay any other running...
Peer-to-Peer (P2P) technologies have found much success in applications like file distributions, and its adoption in live video streaming has recently attracted significant attentions. With the emerge of commercial P2P streaming systems that are orders of magnitude larger than the academic systems, understanding its basic principles and limitations are important in the design of future systems. Coolstreaming...
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