目前卷积神经网络的研究主要在两个方面：
1 network structures 神经网络结构的
这方面的论文有
A. Coates, A. Y. Ng, and H. Lee. An analysis of single-
layer networks in unsupervised feature learning. Journal of
Machine Learning Research, 2011. 2
K. Jarrett, K. Kavukcuoglu, M. Ranzato, and Y. LeCun.
What is the best multi-stage architecture for object recog-
nition? In Proc. ICCV, 2009. 2, 3
D. Ciresan, U. Meier, and J. Schmidhuber. Multi-column
deep neural networks for image classification. In Proc.
CVPR, 2012. 2
A. Krizhevsky, I. Sutskever, and G. Hinton. Imagenet clas-
sification with deep convolutional neural networks. In Proc.
NIPS, 2012. 2
2 feature learning algorithms 特征学习算法
这方面的论文有
K. Kavukcuoglu, P. Sermanet, Y.-L. Boureau, K. Gregor,
M. Mathieu, and Y. LeCun. Learning convolutional feature
hierarchies for visual recognition. In Proc. NIPS, 2010. 2
Q. Le, M. Ranzato, R. Monga, M. Devin, K. Chen, G. Cor-
rado, J. Dean, and A. Ng. Building high-level features using
large scale unsupervised learning. In Proc. ICML, 2012. 2
出自Sun的《Deep Convolutional Network Cascade for Facial Point Detection》