LBP Feature Extraction: Compute LBP histograms for efficient texture representation.Binary Encoding: Represent LBP histograms using binary codes for compactness.GMM for Feature Modeling: Utilize GMM to model the distribution of LBP features, potentially using a sparse representation for the model parameters.Sparse Representation: Employ techniques like sparse coding or dictionary learning to further reduce the dimensionality and achieve sparse feature representation.
Fullscreen
To Center
Zoom Out
Zoom In
Left Layout
Right Layout
Center Layout
MindMap AI Shared Map Help
Welcome to our shared mind map!
Right-click and drag to pan the canvas or use two-finger gestures on mobile/tablet.
Click here
to copy and make your own mind map.