The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Multi-agent systems comprise multiple, deliberative agents embedded in and recreating patterns of interactions. Each agent’s execution consumes considerable storage and calculat...
We propose a novel approach to designing algorithms for
object tracking based on fusing multiple observation models.
As the space of possible observation models is too large
for...
Text visualization becomes an increasingly more important research topic as the need to understand massive-scale textual information is proven to be imperative for many people and...
Lei Shi, Furu Wei, Shixia Liu, Li Tan, Xiaoxiao Li...
In this paper, we present a probabilistic framework for automatic detection and tracking of objects. We address the data association problem by formulating the visual tracking as ...