Obtaining labels can be expensive or timeconsuming, but unlabeled data is often abundant and easier to obtain. Most learning tasks can be made more efficient, in terms of labeling cost, by intelligently choosing specific unlabeled instances to be labeled by an oracle. The general problem of optimally choosing these instances is known as active learning. As it is usually set in the context of su...

Dual-Path is an anonymous peer-to-peer approach which provides requester anonymity.This approach provides anonymity between a requester and a provider in peer-to-peer networks with trusted servers called suppernode so the provider will not be able to identify the requester and no other peers can identify the two communicating parties with certainty.Dual-Path establishes two paths for transmitti...

This paper presents a new method for improving web server performance and fairness in the face of SYNflooding and flash crowds. The method proposes use of cache to avoid preemption of legitimate SYN messages from the TCP backlog queue in Random Drop (RD) method. A new algorithm, the Cached Guaranteed Timer Random Drop (Cached GT-RD), was designed to maximize the effect of the cache during flash...

Crowd simulation is a complex and challenging domain. Crowds demonstrate many complex behaviours and are consequently difficult to model for realistic simulation systems. Analyzing crowd dynamics has been an active area of research and efforts have been made to develop models to explain crowd behaviour. In this paper we describe an agent based simulation of crowds, based on a continuous field f...

Simulation, animation and rendering of crowds has become an important part of real-time applications such as videogames. Virtual environments achieve higher realism when being populated by virtual crowds as opposed to appearing uninhabited. There has been a large amount of research on simulation, animation and rendering of crowds, but in most cases they seem to be treated separately as if the l...

The visualization system of large-scale crowd simulations should scale up with both the number of visuals (views of the virtual world) and the number of agents displayed in each visual. Otherwise, we could have large scale crowd simulations where only a small percentage of the population is displayed. Several approaches have been proposed in order to efficiently render crowds of animated charac...

Crowdsourcing provides a practical way to obtain large amounts of labeled data at low cost. However, the annotation quality annotators varies considerably, which imposes new challenges in learning high-quality model from crowdsourced annotations. In this work, we provide perspective decompose noise into common and individual differentiate source confusion based on instance difficulty annotator ...