The front end of many motion analysis algorithms is usually a process that generates bounding boxes around each moving object, roughly segmenting the objects from the background. ...
Abstract. The recent availability of large scale data sets profiling single nucleotide polymorphisms (SNPs) and gene expression across different human populations, has directed muc...
Oliver Stegle, Anitha Kannan, Richard Durbin, John...
Abstract— We present a machine learning approach for trajectory inverse kinematics: given a trajectory in workspace, to find a feasible trajectory in angle space. The method lea...
We present a simple linguistically-motivated method for characterizing the semantic relations that hold between two nouns. The approach leverages the vast size of the Web in order...
Driving behavior has been trending towards more time in the car and longer commutes. This has fueled the demand for an increasing number of in-vehicle infotainment features, at th...
Jackie C. Chang, Annie Lien, Brian Lathrop, Holger...