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ICML
2001
IEEE
16 years 1 months ago
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
John D. Lafferty, Andrew McCallum, Fernando C. N. ...
FGR
2004
IEEE
200views Biometrics» more  FGR 2004»
15 years 4 months ago
Using Random Subspace to Combine Multiple Features for Face Recognition
LDA is a popular subspace based face recognition approach. However, it often suffers from the small sample size problem. When dealing with the high dimensional face data, the LDA ...
Xiaogang Wang, Xiaoou Tang
51
Voted
CORR
2007
Springer
86views Education» more  CORR 2007»
15 years 21 days ago
On the Discovery of Random Trees
Abstract. We consider in this paper the problem of discovering, via a traceroute algorithm, the topology of a network, whose graph is spanned by an infinite branching process. A s...
Fabrice Guillemin, Philippe Robert
93
Voted
ECMDAFA
2009
Springer
109views Hardware» more  ECMDAFA 2009»
15 years 7 months ago
Uniform Random Generation of Huge Metamodel Instances
The size and the number of models is drastically increasing, preventing organizations from fully exploiting Model Driven Engineering benefits. Regarding this problem of scalabilit...
Alix Mougenot, Alexis Darrasse, Xavier Blanc, Mich...
129
Voted
ISSTA
2007
ACM
15 years 2 months ago
Experimental assessment of random testing for object-oriented software
Progress in testing requires that we evaluate the effectiveness of testing strategies on the basis of hard experimental evidence, not just intuition or a priori arguments. Random ...
Ilinca Ciupa, Andreas Leitner, Manuel Oriol, Bertr...