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IEEEIAS
2007
IEEE
16 years 19 days ago
Cyber Threat Trend Analysis Model Using HMM
Prevention, not reaction, is normally recognized as one of the best defense strategy against malicious hackers or attackers. The desire of deploying better prevention mechanism mo...
Do-Hoon Kim, Taek Lee, Sung-Oh David Jung, Hoh Pet...
AAAI
2011
14 years 6 months ago
An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
Byron Boots, Geoffrey J. Gordon
ICMCS
2005
IEEE
183views Multimedia» more  ICMCS 2005»
15 years 12 months ago
Sports Event Recognition Using Layered HMMS
The recognition of events in video data is a subject of much current interest. In this paper, we address several issues related to this topic. The first one is overfitting when ...
Mark Barnard, Jean-Marc Odobez
LOCA
2007
Springer
16 years 14 days ago
SocialMotion: Measuring the Hidden Social Life of a Building
In this paper we present an approach to analyzing the social behaviors that occur in a typical office space. We describe a system consisting of over 200 motion sensors connected ...
Christopher Richard Wren, Yuri A. Ivanov, Ishwinde...
ICASSP
2008
IEEE
16 years 23 days ago
Gradient steepness metrics using extended Baum-Welch transformations for universal pattern recognition tasks
In many pattern recognition tasks, given some input data and a family of models, the “best” model is defined as the one which maximizes the likelihood of the data given the m...
Tara N. Sainath, Dimitri Kanevsky, Bhuvana Ramabha...