Jia Deng will present his preFPO on Monday January 9 at 1:30 PM in Room 402. The members of his committee are: Fei-Fei Li, advisor; Kai Li and Szymon Rusinkiewicz, readers; David Blei and Adam Finkelstein, nonreaders. Everyone is invited to attend his talk. His abstract follows below. ----------------- Title: Building the forest to see trees: toward large-scale visual recognition Abstract: Visual recognition is inherently a large-scale problem in that humans can recognize tens of thousands of categories. One of the goals of computer vision is to endow machines with this ability. In this talk, I will discuss recent advances toward recognition at this human scale. I will first talk about the acquisition and analysis of large-scale data, in particular, the construction of a large-scale visual ontology and an evaluation of state of the art recognition algorithms on more than 10,000 categories. Then I will present two recent works on large-scale machine learning. The first is on speeding-up training and testing to achieve sub-linear costs with respect to the number of categories. The second is about optimizing accuracy-specificity trade-offs to achieve reliable multi-level categorization. I will demonstrate that, by exploiting the structures among categories, our methods significantly improve the computational efficiency and reliability of recognition over previous work.