A novel framework for analysing task-positive data in magnetoencephalography (MEG) is presented that can identify task-related networks. Techniques that combine beamforming, the Hilbert transform and temporal independent component analysis (ICA) have recently been applied to resting-state MEG data and have been shown to extract resting-state networks similar to those found in fMRI. Here we exte...

The questions asked in the present experiments concern the generality of semantic and phonological priming effects: Do these effects arise automatically regardless of target task, or are these effects restricted to target tasks that specifically require the retrieval of the primed information? In Experiment 1, subjects produced faster color matching times on targets preceded by a masked rhyming...

Today’s world of universal data exchange, there is a need to manage the risk of unintended information disclosure. Publishing the data about the individuals, without revealing sensitive information about them is an important problem. K-anonymization is the popular approach used for data publishing. The limitations of Kanonymity were overcome by methods like L-diversity, T-closeness, (alpha, K) ...

Scheduling is a critical problem in Cloud computing, because a cloud provider has to serve many users in Cloud computing system. So scheduling is the major issue in establishing Cloud computing systems. A good scheduling technique also helps in proper and efficient utilization of the resources. Many scheduling techniques have been developed by the researchers like GA (Genetic Algorithm), PSO (P...

Predictive dynamics learning can be drastically improved for robots by interacting with humans or other agents and taking advantage of their knowledge. This paper presents an initial work on interaction based learning algorithms embedded in a task-independent model adapted to continuous and multiple scale anticipations.

Qiang Huang and Stephen Cox∗ School of Computing Sciences, University of East Anglia, Norwich NR4 7TJ, U.K. [email protected] Abstract Call-routing is the technology of automatically classifying the type of a telephone call from a customer to a business or an institution in order to transmit the call onward to the correct “destination”. Making transcriptions of calls to provide training data fo...

Robust ASR-systems should benefit from detecting when portions of the decoded hypotheses are incorrect. This can be done by including a separate verification module based on statistical hypothesis testing. String based minimum verification error (SB-MVE) training is a promising alternative for improving the corresponding verification-models. This paper adresses a variant of SB-MVE at the phone ...

In today’s market, different systems (e.g., camera, microwave etc.) exist that can perform specialized tasks. However, users find it frustrating to learn how to operate these task-oriented systems (TOSs) in a manner that suits their needs. If a single agent can interface users with different TOSs, then the users need not learn how to interact with each TOS separately; instead, they just need to...