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MEDIAFORENSICS
2010
15 years 1 months ago
Forensic hash for multimedia information
Digital multimedia such as images and videos are prevalent on today's internet and cause significant social impact, which can be evidenced by the proliferation of social netw...
Wenjun Lu, Avinash L. Varna, Min Wu
NIPS
1998
15 years 1 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
ICA
2010
Springer
15 years 27 days ago
Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models
Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
Takanori Inazumi, Shohei Shimizu, Takashi Washio
ECOI
2010
117views more  ECOI 2010»
14 years 12 months ago
Ensemble extraction for classification and detection of bird species
Advances in technology have enabled new approaches for sensing the environment and collecting data about the world. Once collected, sensor readings can be assembled into data stre...
Eric P. Kasten, Philip K. McKinley, Stuart H. Gage
JSAC
2006
89views more  JSAC 2006»
14 years 11 months ago
A Comparison of Poisson and Uniform Sampling for Active Measurements
Active probes of network performance represent samples of the underlying performance of a system. Some effort has gone into considering appropriate sampling patterns for such probe...
Matthew Roughan