- In this paper, we proposed an automatic pushing system, whereby the users of mobile devices set their preferences on the Internet and receive `pushed' contents, which are a ...
We describe a method for predicting user intentions as part of a human-robot interface. In particular, we show that funnels, i.e., geometric objects that partition the input space...
Michael T. Rosenstein, Andrew H. Fagg, Shichao Ou,...
In manyoptimization and decision problems the objective function can be expressed as a linear combinationof competingcriteria, the weights of whichspecify the relative importanceo...
We present a method to automatically learn object categories from unlabeled images. Each image is represented by an unordered set of local features, and all sets are embedded into...
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...