Incremental Support Vector Machines (SVM) are instrumental in practical applications of online learning. This work focuses on the design and analysis of efficient incremental SVM ...
This paper introduces the Low-Power Intelligent Tool Environment (LITE), an object oriented tool set designed for power visualization, analysis, and optimization. These tools lever...
The relationship between abstract interpretation and partial deduction has received considerable attention and (partial) integrations have been proposed starting from both the part...
—We present iCluster, a fast and efficient algorithm that clusters a set of images while co-registering them using a parameterized, nonlinear transformation model. The output of...
In this work we present a new crowd analysis algorithm powered by behavior priors that are learned on a large database of crowd videos gathered from the Internet. The algorithm wo...
Mikel Rodriguez, Josef Sivic, Ivan Laptev, Jean-Yv...