Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Machine Learning.- Data Augmentation via Variational Auto-Encoders.- LSTM-based Multi-scale Model for WindSpeed Forecasting.-Using deep learning to classify class imbalanced gene-expression microarrays datasets.-A data representation approach to support imbalanced data classification beased in TWSVM.- Improving regression models by dissimilarity representation of bio-chemical data.- A Comparative Study on Unsupervised Domain Adaption for Coffee Crop Mapping.- Analytical Comparison of Histogram Distance Measures.- Gaussian processes regression with multiple annotors.- Linear projection learned from hybrid CKA for enhancing distance-based classifiers.- Evaluation of Bag-of-Word performance for time series classification using discriminative SIFT-based mid-level representations.-  Color classification methods for perennial weed detection in cereal crops.-  Hierarchical graph-based segmentation in detection of object-related regions.-   Dealingwith heterogeneous Google Earth images on Building Area Detection task.- Evaluation of scale-aware realignments of hierarchical image segmentation.