In this paper, we propose the Multi-Learner Based Recursive Supervised Training (MLRT) algorithm which uses the existing framework of recursive task decomposition, by training the...
Laxmi R. Iyer, Kiruthika Ramanathan, Sheng Uei Gua...
This paper presents a methodology for semantic understanding of complex and continued human activities. A context-free grammar (CFG) based representation scheme developed earlier ...
Abstract. This paper presents a new algorithm for structure from motion from an arbitrary number of tracked features over an arbitrary number of images, which possesses several adv...
Philip F. McLauchlan, Ian D. Reid, David W. Murray
Recursive simulation is the technique of having simulated decisionmakers themselves use simulation to inform their decisionmaking. Issues of efficiency require that the recursive ...
We characterize the gap between time and space complexity of functions by operators and completeness. First, we introduce a new notion of operators for function complexity classes ...