Ensembling Neural Networks-based 3d model retrieval
Yujie Liu, Zongmin Li, Hua Li · 2008
How to retrieve more and more 3D models is the important point in pervasive computing. In this paper, a novel ensembling neural network (NN) - based 3d model retrieval method is proposed. Firstly, four NNs are trained by constructed learning algorithm (CLA). These four NNs are trained by using difference feature of models. And then NN assembles are employed to retrieve 3d models. The experiments show that the supervised learning increased the power of retrieval.