In many modern video encoders, motion estimation is usually formulated as a Lagrangian cost function that balances motion prediction accuracy and the rate to transmit motion vecto...
Abstract-- Current state-of-the-art association rule-based classifiers for gene expression data operate in two phases: (i) Association rule mining from training data followed by (i...
Many scientific applications generate massive volumes of data through observations or computer simulations, bringing up the need for effective indexing methods for efficient stora...
Hardware-accelerated direct volume rendering of unstructured volumetric meshes is often based on tetrahedral cell projection, in particular, the Projected Tetrahedra (PT) algorith...
Our research deals with a fully automatic and fast visualization of possible tumoral areas on CT Scan images. To achieve this task, we use the bilateral symmetry of the human body...