We present a novel approach for fast object class recognition incorporating contextual information into boosting. The object is represented as a constellation of generalized corre...
In this paper we propose an approach capable of simultaneous recognition and localization of multiple object classes using a generative model. A novel hierarchical representation ...
Model-based recognition of an object typically involves matching dense 3D range data. The computational cost is directly affected by the amount of data of which a transformation n...
Counting (identical) objects in images is a simple yet fundamental recognition task that requires exhaustive human effort. Automation of this task would reduce the human load sign...
Takumi Kobayashi, Tadaaki Hosaka, Shu Mimura, Taka...
Abstract. The memory hierarchy plays an essential role in the performance of current computers, thus good analysis tools that help predict and understand its behavior are required....
Diego Andrade, Manuel Arenaz, Basilio B. Fraguela,...