We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
Abstract. This paper proposes a solution for the automatic detection and tracking of human motion in image sequences. Due to the complexity of the human body and its motion, automa...
Thispaper addresses the problem of estimating, analyzing and tracking objects moving with spatio-temporal rotational motion (i.e. the angular velocity of spinning or orbiting moti...
Jean-Pierre Leduc, Jonathan R. Corbett, M. Victor ...
In this paper, we propose a new architecture-level parameterized transient thermal behavioral modeling algorithm for emerging thermal related design and optimization problems for ...
Duo Li, Sheldon X.-D. Tan, Eduardo H. Pacheco, Mur...
9, IO]. However, unlike the case with static timing, it is not so easy We show how recent advances in the handling of correlated interval representations of range uncertainty can b...