Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
We propose a new method to partition an unlabeled dataset, called Discriminative Context Partitioning (DCP). It is motivated by the idea of splitting the dataset based only on how...
Object detection and recognition has achieved a significant progress in recent years. However robust 3D object detection and segmentation in noisy 3D data volumes remains a challen...
Le Lu, Adrian Barbu, Matthias Wolf, Jianming Liang...
The behavior of a human player in a game expresses the personality of that player. Personality is an important characteristic for modeling the player's profile. In our researc...
Giel van Lankveld, Sonny Schreurs, Pieter Spronck,...
While symmetry reduction has been established to be an important technique for reducing the search space in model checking, its application in concurrent software verification is ...