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CVPR
2010
IEEE
15 years 4 months ago
P-N learning: Bootstrapping binary classifiers by structural constraints
This paper shows that the performance of a binary classifier can be significantly improved by the processing of structured unlabeled data, i.e. data are structured if knowing the ...
Zdenek Kalal, Jiri Matas, Krystian Mikolajczyk
ICMCS
2005
IEEE
117views Multimedia» more  ICMCS 2005»
16 years 1 days ago
Interactive Clustering of Video Segments for Media Structuring
Structuring video data is necessary for its effective retrieval and summarization. In particular, collecting similar scenes from semantic aspects highly contributes to the structu...
Yukihiro Kinoshita, Naoko Nitta, Noboru Babaguchi
LREC
2008
98views Education» more  LREC 2008»
15 years 7 months ago
Deriving Rhetorical Complexity Data from the RST-DT Corpus
This paper describes a study of the levels at which different rhetorical relations occur in rhetorical structure trees. In a previous empirical study (Williams and Reiter, 2003) o...
Sandra Williams, Richard Power
IPPS
1997
IEEE
15 years 10 months ago
Maintaining Spatial Data Sets in Distributed-Memory Machines
We propose a distributed data structure for maintaining spatial data sets on message-passing, distributed memory machines. The data structure is based on orthogonal bisection tree...
Susanne E. Hambrusch, Ashfaq A. Khokhar
CORR
2007
Springer
170views Education» more  CORR 2007»
15 years 6 months ago
The structure of verbal sequences analyzed with unsupervised learning techniques
Data mining allows the exploration of sequences of phenomena, whereas one usually tends to focus on isolated phenomena or on the relation between two phenomena. It offers invaluab...
Catherine Recanati, Nicoleta Rogovschi, Youn&egrav...