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TIP
2008
169views more  TIP 2008»
14 years 10 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht
ER
2007
Springer
97views Database» more  ER 2007»
15 years 4 months ago
Towards Active Conceptual Modelling for Sudden Events
There are a number of issues for information systems which are required to collect data urgently that are not well accommodated by current conceptual modelling methodologies and a...
John F. Roddick, Aaron Ceglar, Denise de Vries
JCNS
2002
99views more  JCNS 2002»
14 years 9 months ago
Coarse-Grained Reduction and Analysis of a Network Model of Cortical Response: I. Drifting Grating Stimuli
We present a reduction of a large-scale network model of visual cortex developed by McLaughlin, Shapley, Shelley, and Wielaard. The reduction is from many integrate-and-fire neuron...
Michael Shelley, David McLaughlin
VMCAI
2009
Springer
15 years 4 months ago
An Abort-Aware Model of Transactional Programming
There has been a lot of recent research on transaction-based concurrent programming, aimed at offering an easier concurrent programming paradigm that enables programmers to better...
Kousha Etessami, Patrice Godefroid
BMCBI
2006
159views more  BMCBI 2006»
14 years 10 months ago
Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures
Background: The structure of proteins may change as a result of the inherent flexibility of some protein regions. We develop and explore probabilistic machine learning methods for...
Mikael Bodén, Zheng Yuan, Timothy L. Bailey