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ICPR
2004
IEEE
16 years 5 months ago
A Probabilistic Approach to Learning Costs for Graph Edit Distance
Graph edit distance provides an error-tolerant way to measure distances between attributed graphs. The effectiveness of edit distance based graph classification algorithms relies ...
Horst Bunke, Michel Neuhaus
ICML
2007
IEEE
16 years 5 months ago
Sparse probabilistic classifiers
The scores returned by support vector machines are often used as a confidence measures in the classification of new examples. However, there is no theoretical argument sustaining ...
Romain Hérault, Yves Grandvalet

Publication
350views
16 years 4 months ago
Probabilistic Parameter Selection for Learning Scene Structure from Video
We present an online learning approach for robustly combining unreliable observations from a pedestrian detector to estimate the rough 3D scene geometry from video sequences of a...
Michael D. Breitenstein, Eric Sommerlade, Bastian ...
ICTAI
2009
IEEE
15 years 11 months ago
Probabilistic Neural Logic Network Learning: Taking Cues from Neuro-Cognitive Processes
This paper describes an attempt to devise a knowledge discovery model that is inspired from the two theoretical frameworks of selectionism and constructivism in human cognitive le...
Henry Wai Kit Chia, Chew Lim Tan, Sam Yuan Sung
ISQED
2000
IEEE
91views Hardware» more  ISQED 2000»
15 years 9 months ago
Probabilistic Bottom-Up RTL Power Estimation
We address the problem of power estimation at the register-transfer level (RTL). At this level, the circuit is described in terms of a set of interconnected memory elements and co...
Ricardo Ferreira, A.-M. Trullemans, José C....