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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 ...
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 ...
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 ...
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 ...
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 ...
Gender Classification from Pose-Based GEIs
(Springer Berlin Heidelberg, 2012)
This paper introduces a new approach for gait-based gender classification in which some key biomechanical poses of a gait pattern are represented by partial Gait Energy Images (GEIs). These pose-based GEIs can more accurately ...
Assessment of Financial Risk Prediction Models with Multi-criteria Decision Making Methods
(Springer Berlin Heidelberg, 2012)
A wide range of classification models have been explored for financial risk prediction, but conclusions on which technique behaves better may vary when different performance evaluation measures are employed. Accordingly, ...
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 ...
Gait Recognition by Ranking
(Springer Berlin Heidelberg, 2012)
The advantage of gait over other biometrics such as face or fingerprint is that it can operate from a distance and without subject cooperation. However, this also makes gait subject to changes in various covariate conditions ...