We propose and test an objective criterion for evaluation of clustering performance: How well does a clustering algorithm run on unlabeled data aid a classification algorithm? The...
We seek to investigate how co-located group brainstorming could be enhanced through computational tools that leverage gestures and voice cues. To pursue this goal we are developin...
In this paper, we introduce a novel vector quantization (VQ) scheme for distributing the quantization error equally among the quantized dimensions. Afterwards, the proposed VQ sch...
Embryogenic evolution emulates in silico cell-like entities to get more powerful methods for complex evolutionary tasks. As simulations have to from the biological model, implicit ...
This paper combines the novel concept of Fuzzy Gaussian Inference(FGI) with Genetic Programming (GP) in order to accurately classify real natural 3d human Motion Capture data. FGI ...