Universiteit Leiden Opleiding Informatica

Universiteit Leiden Opleiding Informatica

Universiteit Leiden Opleiding Informatica Deep learning for Emotional Analysis

The detection of emotions in textual data lets us discover more about the writer. The automatic detection of emotions is useful in a large amount of applications. Furthermore, new developments in deep learning have made it effective in more domains. This research combines the two areas and explores a deep learning method for emotional analysis. The method is benchmarked against current methods ...

Universiteit Leiden Opleiding Informatica Using the Forelem Framework to Express and Optimize K - means Clustering

The Forelem framework was first introduced as a means to optimize database queries using optimization techniques used by compilers. Since its introduction, Forelem has proven to be more versatile and to be applicable beyond database applications. In this paper we show that the original Forelem framework can be used to express and optimize k-means clustering, thereby yielding four automatically ...

Universiteit Leiden Opleiding Informatica Unsupervised Segmentation and Texture Visualization

In this paper we implement and compare textural analysis methods, for 3D medical image segmentation and texture visualization. We implement and evaluate an unsupervised system that makes use of these features in order to automatically segment 3D medical images. There are many algorithms that try to extract features that represent the texture of an image. Moreover due to technological advancemen...

Reaction Cycles in Membrane Systems and Molecular Dynamics

1 Leiden University, Mathematical Institute Niels Bohrweg 1, 2333 CA Leiden, The Netherlands [email protected] 2 Vrije Universiteit Amsterdam, Faculteit der Bewegingswetenschappen Van der Boechorststraat 9, 1081 BT Amsterdam, The Netherlands [email protected] 3 Leiden University, Leiden Institute of Advanced Computer Science Niels Bohrweg 1, 2333 CA Leiden, The Netherlands {rbrijd...