The question of whether architectural creativity is more of an artistic or engineering nature is one with a long history but also one with no conclusive answer. The art camp would argue that technology should be treated as a means towards and end, and that technology alone cannot give meaning to our lives. The engineering camp on the other hand would argue that good problem-solving result...

When telescopes are exploited for the observation of orbiting objects, images are often distorted by diurnal motion and also by the motion of the imaging apparatus during acquisition, causing a significant drift across image sequences. The drift of normally static objects, such as the stars in the background, can be exploited to correct the effect of the drift and recalibrate the sequence of im...

Data Mining in non-stationary data streams is particularly relevant in the context of the Internet of Things and Big Data. Its challenges arise from fundamentally different drift types violating assumptions of data independence or stationarity. Available methods often struggle with certain forms of drift or require unavailable a priori task knowledge. We propose the Self-Adjusting Memory (SAM) ...

Classifiers operating in a dynamic, real world environment, are vulnerable to adversarial activity, which causes the data distribution to change over time. These changes are traditionally referred to as concept drift, and several approaches have been developed in literature to deal with the problem of drift handling and detection. However, most concept drift handling techniques, approach it as ...

In this paper, we will consider how the neutral and nearly neutral theories of molecular evolution differ from each other as a means for addressing causal processes associated with random drift and natural selection. These two theories are sometimes characterized as theories about drift alone, where drift is described solely as an outcome, rather than a process. Contra this characterization, we...

Reports are conflicting on the presence of increased drift in amblyopic eyes. Furthermore, the individual effects of either amblyopia or strabismus alone on ocular drift have not been systematically investigated. We therefore used a photoelectric method to record horizontal eye position during monocular and binocular fixation in patients having amblyopia without strabismus, intermittent strabis...

A proper treatment of the non-equilibrium dust formation process is crucial in models of AGB star winds. In this paper the micro-physics of this process is treated in detail, with an emphasis on the effects of drift (drift models). We summarize the description of the dust formation process and make a few additions to previous work. A detailed study shows that different growth species dominate t...

Drift analysis is one of the state-of-the-art techniques for the runtime analysis of randomized search heuristics (RSHs) such as evolutionary algorithms (EAs), simulated annealing etc. The vast majority of existing drift theorems yield bounds on the expected value of the hitting time for a target state, e. g., the set of optimal solutions, without making additional statements on the distributio...

A supervised learning algorithm aims to build a prediction model using training examples. This paradigm typically has the assumptions that the underlying distribution and the true input-output dependency does not change. However, these assumptions often fail to hold, especially in data streams. This phenomenon is known as concept drift. We propose a new model combining algorithm for tracking co...