The decision tree is one of the most fundamental ing abstractions. A commonly used type of decision tree is the alphabetic binary tree, which uses (without loss of generality) &quo...
This paper presents a framework for efficient HMM-based estimation of unreliable spectrographic speech data. It discusses the role of Hidden Markov Models (HMMs) during minimum mea...
Shadowing effects dramatically enhance the realism of virtual environments by providing useful visual cues. Shadow mapping is an efficient algorithm for real-time shadow renderin...
In streamwise feature selection, new features are sequentially considered for addition to a predictive model. When the space of potential features is large, streamwise feature sel...
Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H...
— Many critical elements for statically stable walking for legged robots have been known for a long time, including stability criteria based on support polygons, good foothold se...
Jonas Buchli, Mrinal Kalakrishnan, Michael Mistry,...