Contributions to unsupervised and supervised learning with applications in digital image processing

311 p. : il.

Contributions to the analysis and segmentation of remote sensing hyperspectral images

142 p.

Contributions on distance-based algorithms, multi-classifier construction and pairwise classification

179 p.

Contributions to the efficient use of general purpose coprocessors: kernel density estimation as case study

142 p.

Contributions to learning Bayesian network models from weakly supervised data: Application to Assisted Reproductive Technologies and Software Defect Classification

162 p.

Contributions to High-Throughput Computing Based on the Peer-to-Peer Paradigm

XII, 116 p.

Contributions on agreement in dynamic distributed systems

139 p.

Contributions to time series data mining departing from the problem of road travel time modeling

194 p.

Contributions to Ensemble Classifiers with Image Analysis Applications

134 p.