Pattern Recognition

Biomedical Signals and Images

Neuroscience

Industrial Visual Inspection

Content-Based
Image Retrieval

Methods

Supervised, semisupervised and unsupervised classification
Statistical methods for data analysis
Machine learning (neural networks, support vector machine, etc.)
Kernel-based methods and support vector machines
Domain adaptation and active learning algorithms
Multidimensional signal processing
2D and 3D image processing
Data fusion

Applications

Remote sensing
Biomedical Signals and Images
Neuroscience
Industrial Visual Inspection
Others

Biomedical Signals and Images

Analysis of retina images for diseases detection and mapping
Analisys of MRI and fMRI images
Analysis of TAC images
Analysis of ECG and ECoG signals
Analysis of EEG signals
Development of Brain Computer Interface (BCI) systems

Neuroscience

Analysis of fMRI signals
Analysis of EEG and MEG signals
Fusion between EEG, MEG and fMRI data
Pattern recognition for cognitive analysis

Laboratory of Functional Neuroimaging, CIMeC.

This activity is developed in cooperation with CIMeC – Centro interdipartimentale Mente/Cervello (Center for Mind/Brain Sciences), University of Trento.

Industrial Visual Inspection

Fig Quality Assessment

This activity is developed in cooperation with the Vision-Image Processing and Pattern Recognition Laboratory, Süleyman Demirel University, Isparta, Turkey.

Content-Based Image Retrieval (CBIR)

Image Feature Extraction for CBIR problems
Fast content-based Image Retrieval
Relevance Feedback Driven by Active Learning

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