Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
In this paper we develop a theory for characterizing how deformable a shape is given a sequence of its observations. We define a term called ‘‘deformability index’’ (DI) ...
Multi-view learning algorithms typically assume a complete bipartite mapping between the different views in order to exchange information during the learning process. However, ma...
Background: Medium- to large-scale expression profiling using quantitative polymerase chain reaction (qPCR) assays are becoming increasingly important in genomics research. A majo...
Samuel Arvidsson, Miroslaw Kwasniewski, Diego Maur...
: Algorithms for 3D head pose and facial expression tracking using a single camera (monocular image sequences) is presented in this paper. The proposed method is based on a combina...