Hierarchical and multi-resolution representation of protein flexibility

Hierarchical and multi-resolution representation of protein flexibility

MOTIVATION Conformational rearrangements during molecular interactions are observed in a wide range of biological systems. However, computational methods that aim at simulating and predicting molecular interactions are still largely ignoring the flexible nature of biological macromolecules as the number of degrees of freedom is computationally intractable when using brute force representations....

Hierarchical Data Representation Model - Multi-layer NMF

In this paper, we propose a data representation model that demonstrates hierarchical feature learning using nsNMF. We extend unit algorithm into several layers. Experiments with document and image data successfully discovered feature hierarchies. We also prove that proposed method results in much better classification and reconstruction performance, especially for small number of features.

A Multi-resolution Representation for Terrain Morphology

Mesh-based terrain representations provide accurate descriptions of a terrain, but fail in capturing its morphological structure. The morphology of a terrain is defined by its critical points and by the critical lines joining them, which form a so-called surface network. Because of the large size of current terrain data sets, a multi-resolution representation of the terrain morphology is crucia...

Multi Resolution Fuzzy Segmentation of Satellite Images

An Optimal Resolution Sensitive Pyramid Representation for Hierarchical Memory Models

In this paper we propose and analyze a new hierarchical direct access data structure, namely the up-down pyramid, for storing and processing efficiently large sets of 2-dimensional data. We use as performance measure the cost of storage accesses on a hierrchical memory model with different access cost functions of theoretical and practical significance. We analyze, for our structure, the time c...