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AAAI
1996
15 years 6 months ago
Learning Models for Multi-Source Integration
One issue involved in accessing multiple heterogeneous information sources is how to integrate the retrieved data. SIMS, an information mediator, handles this problem by mapping t...
Sheila Tejada, Craig A. Knoblock, Steven Minton
141
Voted
BMCBI
2005
86views more  BMCBI 2005»
15 years 4 months ago
Generalizations of Markov model to characterize biological sequences
Background: The currently used kth order Markov models estimate the probability of generating a single nucleotide conditional upon the immediately preceding (gap = 0) k units. How...
Junwen Wang, Sridhar Hannenhalli
TIP
2008
169views more  TIP 2008»
15 years 4 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
MCS
2007
Springer
15 years 11 months ago
Group-Induced Vector Spaces
The strength of classifier combination lies either in a suitable averaging over multiple experts/sources or in a beneficial integration of complementary approaches. In this paper...
Manuele Bicego, Elzbieta Pekalska, Robert P. W. Du...
CVPR
1996
IEEE
15 years 9 months ago
Global Minimum for Active Contour Models: A Minimal Path Approach
A new boundary detection approach for shape modeling is presented. It detects the global minimum of an active contour model's energy between two end points. Initialization is ...
Laurent D. Cohen, Ron Kimmel