We present a framework for improving probabilistic tracking of an extended object with a set of model points. The framework combines the tracker with an on-line performance measure and a correction technique. We correlate model point trajectories to improve on-line the accuracy of a failed or an uncertain tracker. A model point tracker gets assistance from neighboring trackers whenever a degrad...

Denoising autoencoder is applied to reverberant speech recognition as a noise robust front-end to reconstruct clean speech spectrum from noisy input. In order to capture context effects of speech sounds, a window of multiple short-windowed spectral frames are concatenated to form a single input vector. Additionally, a combination of short and long-term spectra is investigated to properly handle...

The pre-supplementary motor area (pre-SMA) is engaged in speech comprehension under difficult circumstances such as poor acoustic signal quality, cognitive load, or time-critical conditions. Previous studies found left pre-SMA activated when subjects listen to accelerated speech. Here we tested the functional role of the pre-SMA for accelerated speech comprehension by inducing a transient “virt...

Software architecture, configuration management, and configurable distributed systems are three areas of research that until now have evolved separately. Contributions in each field have focused on their respective area of concern. However, as solutions in the three fields tend to center around some notion of a system model, it is worthwhile to investigate their relationship in detail. In parti...

In this paper we evaluate the effectiveness of agent-based aiding in support of a time-critical team-planning task for teams of both humans and heterogeneous software agents. The team task consists of human subjects playing the role of military commanders and cooperatively planning to move their respective units to a common rendezvous point, given time and resource constraints. The objective of...

We consider a non-parametric, spatial sample-based scheme for the detection and estimation of changes of a random field by collecting packets from randomly distributed sensors. We assume that each sensor has a fixed probability of successfully sending to a mobile access point a packet containing its local state—either “excited” or “baseline” and its location. The task we are concerned with here...

This article describes a large-scale empirical evaluation across different types of English text collections. We ran about 140,000 experiments and analyzed the results on system component-level to find out if we can select configurations that perform reliable on specific types of corpora. To our own surprise we observed that a specific set of configuration parameters achieved 95% of the optimal...

Streaming data are dynamic in nature with frequent changes. To detect such changes, most methods measure the difference between the data distributions in a current time window and a reference window. Divergence metrics and density estimation are required to measure the difference between the data distributions. Our study shows that the Kullback-Leibler (KL) divergence, the most popular metric f...

Inspection is an effective but also expensive quality assurance activity to find defects early during software development. The defect detection process, team size, and staff hours invested can have a considerable impact on the defect detection effectiveness and cost-benefit of an inspection. In this paper, we use empirical data and a probabilistic model to estimate this impact for nominal (non...

The specific analysis of FPA, from a complexity viewpoint, leads us to propose an initial model of functional complexity in which software complexity is a function of component complexity and system complexity. In this paper, we will use the next generation of functional size methods proposed by the COSMIC team [1][24], and we will look at it from the complexity perspective to identify some fac...