Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
Abstract. Research domains that deal with complex molecular systems often employ computer-based thermodynamics simulations to study molecular interactions and investigate phenomena...
Sidharth Thakur, Syamal Tallury, Melissa A. Pasqui...
Previous studies comparing the prediction accuracy of effort models built using Web cross- and single-company data sets have been inconclusive, and as such replicated studies are ...
Emilia Mendes, Sergio Di Martino, Filomena Ferrucc...
We propose in this paper a face authentication method based on a similarity measure. The SIFT descriptor is used to define some interest keypoints characterized by an invariant pa...
The compression of polygonal mesh geometry is still an active field of research as in 3d no theoretical bounds are known. This work proposes a geometry coding method based on pred...