My research interests are Computer Vision, Neural Network, Machine Learning, Digital Signal Processing, Pattern Recognition, Distributed Algorithms, Software Design Pattern for Scalable Systems and Statistical Image Processing applied in mHealth and Participatory Sensing.

Impressive Readings to Share (Outdated)

Neural Network

• Geoffrey Hinton's Publications (all-especially the most recent ones)
• Yann LeCun's Publications (all-especially LeNet5)
• Radford M. Neal, Learning stochastic feedforward networks.[pdf, 34pages]

• Rob Shapire, The Strength of Weak Learnability., Machine Learning 1990. [pdf, 31pages]
• Michael I. Jordan and Robert A. Jacobs (1994), Hierarchical Mixtures of Experts and the EM Algorithm [pdf, 36pages]
• Alan Poritz, Hidden Markov Models: A guided tour., ICASSP 1988. [pdf, 7pages]
• Corinna Cortes and Vladimir Vapnik, Support Vector Networks, Machine Learning 20(3): 273-297 (1995) [ps.gz, 31pages]
• Tomaso Poggio and Christian R. Shelton, Machine Learning, Machine Vision, and the Brain, (1999) [ps.gz, 31pages]

• List of important publications in computer sciencce, [HTML]