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» Document Summarization Using Conditional Random Fields
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NIPS
2008
13 years 9 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
ECCV
2008
Springer
14 years 6 months ago
Toward Global Minimum through Combined Local Minima
There are many local and greedy algorithms for energy minimization over Markov Random Field (MRF) such as iterated condition mode (ICM) and various gradient descent methods. Local ...
Ho Yub Jung, Kyoung Mu Lee, Sang Uk Lee
ACNS
2006
Springer
117views Cryptology» more  ACNS 2006»
14 years 1 months ago
Do Broken Hash Functions Affect the Security of Time-Stamping Schemes?
We study the influence of collision-finding attacks on the security of time-stamping schemes. We distinguish between client-side hash functions used to shorten the documents befo...
Ahto Buldas, Sven Laur
CIKM
2008
Springer
13 years 9 months ago
Intra-document structural frequency features for semi-supervised domain adaptation
In this work we try to bridge the gap often encountered by researchers who find themselves with few or no labeled examples from their desired target domain, yet still have access ...
Andrew Arnold, William W. Cohen
WWW
2008
ACM
14 years 8 months ago
Learning transportation mode from raw gps data for geographic applications on the web
Geographic information has spawned many novel Web applications where global positioning system (GPS) plays important roles in bridging the applications and end users. Learning kno...
Yu Zheng, Like Liu, Longhao Wang, Xing Xie