Nonlinear dimensionality reduction is formulated here as the problem of trying to find a Euclidean feature-space embedding of a set of observations that preserves as closely as p...
In this paper, we present a new and robust shape descriptor, which can be efficiently used to quickly prune a search for similar shapes in a large image database. The proposed sha...
The traditional SPM approach based on bag-of-features (BoF) must use nonlinear classifiers to achieve good image classification performance. This paper presents a simple but effec...
Abstract. We propose a new computational method for segmenting topological sub-dimensional point-sets in scalar images of arbitrary spatial dimensions. The technique is based on co...
Stiliyan Kalitzin, Joes Staal, Bart M. ter Haar Ro...
A set of microarray images were acquired by a sequence of biological experiments which were scanned via a high resolution scanner. For each spot corresponding to a gene, the ratio...