Learning models for recognizing objects with few or no training examples is important, due to the intrinsic longtailed distribution of objects in the real world. In this paper, we...
We present in this paper a real-time system for shape recognition. The proposed system is a video and multisensor platform that is able to classify the mobile objects evolving in ...
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 ...
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the di...
Many object-oriented toolkits and frameworks for groupware development provide shared objects as a basic service. This relieves developers of a lot of problems originating from th...