—While most activity recognition systems rely on data-driven approaches, the use of knowledge-driven techniques is gaining increasing interest. Research in this field has mainly...
Daniele Riboni, Linda Pareschi, Laura Radaelli, Cl...
Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...
The multiplication of Very High Resolution (spatial or spectral) remote sensing images appears to be an opportunity to identify objects in urban and periurban areas. The classifi...
— There has been significant progress recently in object recognition research, but many of the current approaches still fail for object classes with few distinctive features, an...
This paper presents a probabilistic part-based approach for texture and object recognition. Textures are represented using a part dictionary found by quantizing the appearance of ...