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SUM
2010
Springer
15 years 3 months ago
Event Modelling and Reasoning with Uncertain Information for Distributed Sensor Networks
CCTV and sensor based surveillance systems are part of our daily lives now in this modern society due to the advances in telecommunications technology and the demand for better sec...
Jianbing Ma, Weiru Liu, Paul Miller
153
Voted
AMAI
2004
Springer
15 years 10 months ago
Using the Central Limit Theorem for Belief Network Learning
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
Ian Davidson, Minoo Aminian
CORR
2010
Springer
121views Education» more  CORR 2010»
14 years 11 months ago
Deep Self-Taught Learning for Handwritten Character Recognition
Recent theoretical and empirical work in statistical machine learning has demonstrated the importance of learning algorithms for deep architectures, i.e., function classes obtaine...
Frédéric Bastien, Yoshua Bengio, Arn...
155
Voted
SOSP
2007
ACM
16 years 1 months ago
/*icomment: bugs or bad comments?*/
Commenting source code has long been a common practice in software development. Compared to source code, comments are more direct, descriptive and easy-to-understand. Comments and...
Lin Tan, Ding Yuan, Gopal Krishna, Yuanyuan Zhou
JMLR
2010
147views more  JMLR 2010»
14 years 11 months ago
Image Denoising with Kernels Based on Natural Image Relations
A successful class of image denoising methods is based on Bayesian approaches working in wavelet representations. The performance of these methods improves when relations among th...
Valero Laparra, Juan Gutierrez, Gustavo Camps-Vall...