Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
In this paper, a layered deformable model (LDM) is proposed for human body pose recovery in gait analysis. This model is inspired by the manually labeled silhouettes in [6] and it...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...
System theory propagates the use of models which e level of abstraction to cope with complexity, evolving out of variety and connectivity. Different modeling techniques have been ...
Konrad Pfadenhauer, Burkhard Kittl, Schahram Dustd...
Topic tracking is complicated when the stories in the stream occur in multiple languages. Typically, researchers have trained only English topic models because the training storie...
Leah S. Larkey, Fangfang Feng, Margaret E. Connell...
Taxonomists classify biological specimens into groups (taxa) on the basis of similarities between their observed features ('characters'). The description of these 'c...
Trevor Paterson, Jessie B. Kennedy, Martin R. Pull...