Abstract. We use a simple yet powerful higher-order conditional random field (CRF) to model optical flow. It consists of a standard photoconsistency cost and a prior on affine mo...
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Abur...
Attainment of software performance assurances in open, largely unpredictable environments has recently become an important focus for real-time research. Unlike closed embedded sys...
Ronghua Zhang, Chenyang Lu, Tarek F. Abdelzaher, J...
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
Conventionally, mobile robots are controlled through an action selection mechanism (ASM) that chooses among multiple proposed actions. This choice can be made in a variety of ways...
Brian P. Gerkey, Maja J. Mataric, Gaurav S. Sukhat...