Feature-based learning improves adaptability without compromising precision

Implementing Object and Feature Detection Without Compromising the Performance

This thesis will cover how some computationally heavy algorithms used in digital image processing and computer vision are implemented with WebGL and computed on the graphics processing unit by utilizing GLSL-shaders. This thesis is based on an already implemented motion detection plug-in used in web based games. This plug-in is enhanced with new features and some already implemented algorithms ...

Abstract Projecting a high dimensional feature into a low- dimensional feature without compromising the feature

Projecting a high dimensional feature into a lowdimensional feature without compromising the feature characteristic is a challenging task. This paper proposes a novel dimensionality reduction constituted from the integration of extreme learning machine (ELM) and spectral regression (SR). The ELM in the proposed method is built on the structure of the unsupervised ELM. The hidden layer weights a...

Efficient Logging without Compromising Testability

Funhaler spacer: improving adherence without compromising delivery.

A novel asthma spacer device, the "Funhaler", incorporates incentive toys which are isolated from the main inspiratory circuit by a valve. Here we show that its use does not compromise drug delivery. Improved adherence combined with satisfactory delivery characteristics suggest that the Funhaler may be useful for management of young asthmatics.

Concurrent Warehouse Maintenance Without Compromising Session Consistency

To achieve acceptable query response times in data warehouse environments, the data have to be pre-aggregated according to the need of the applications and stored redundantly. These materialized views must be kept up to date, to assure their usability. In this paper we present an algorithm which improves the maintenance of materialized views in two ways. In the first place, the maintenance proc...