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Mobile Application for Noise Pollution Monitoring through Gamification Techniques
(Springer Berlin Heidelberg, 2012)
Full data coverage of urban environments is crucial to monitor the status of the area to detect, for instance, trends and detrimental environmental changes. Collecting observations related to environmental factors such as ...
EM Training of Hidden Markov Models for Shape Recognition Using Cyclic Strings
(Springer Berlin Heidelberg, 2013)
Shape descriptions and the corresponding matching techniques must be robust to noise and invariant to transformations for their use in recognition tasks. Most transformations are relatively easy to handle when contours are ...
Textural Features for Hyperspectral Pixel Classification
(Springer Berlin Heidelberg, 2009)
Hyperspectral remote sensing provides data in large amounts from a wide range of wavelengths in the spectrum and the possibility of distinguish subtle differences in the image. For this reason, the process of band selection ...
Scale Analysis of Several Filter Banks for Color Texture Classification
(Springer Berlin Heidelberg, 2009)
We present a study of the contribution of the different scales used by several feature extraction methods based on filter banks for color texture classification. Filter banks used for textural characterization purposes are ...
Multi-spectral Texture Characterisation for Remote Sensing Image Segmentation
(Springer Berlin Heidelberg, 2009)
A multi-spectral texture characterisation model is proposed, the Multi-spectral Local Differences Texem – MLDT, as an affordable approach to be used in multi-spectral images that may contain large number of bands. The MLDT ...
Parallel Interconnection of Broadcast Systems with Multiple FIFO Channels
(Springer Berlin Heidelberg, 2009)
This paper proposes new protocols for the interconnection of FIFO- and causal-ordered broadcast systems, thus increasing their scalability. They use several interconnection links between systems, which avoids bottleneck ...
Mobile Access to Sensor Network: A Use Case on Wildfire Monitoring
(Springer International Publishing, 2014)
These networks provide large volumes of data in many different formats, resolution and scales. The data are of different types and character: from meteorological conditions to air quality and the concentrations of pollutants ...
A Heuristic Based on the Intrinsic Dimensionality for Reducing the Number of Cyclic DTW Comparisons in Shape Classification and Retrieval Using AESA
(Springer Berlin Heidelberg, 2012)
Cyclic Dynamic Time Warping (CDTW) is a good dissimilarity of shape descriptors of high dimensionality based on contours, but it is computationally expensive. For this reason, to perform recognition tasks, a method to ...
One-Sided Prototype Selection on Class Imbalanced Dissimilarity Matrices
(Springer Berlin Heidelberg, 2012)
In the dissimilarity representation paradigm, several prototype selection methods have been used to cope with the topic of how to select a small representation set for generating a low-dimensional dissimilarity space. In ...
Improving Risk Predictions by Preprocessing Imbalanced Credit Data
(Springer Berlin Heidelberg, 2012)
Imbalanced credit data sets refer to databases in which the class of defaulters is heavily under-represented in comparison to the class of non-defaulters. This is a very common situation in real-life credit scoring ...