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ICCV
2009
IEEE
15 years 3 months ago
Incremental Multiple Kernel Learning for object recognition
A good training dataset, representative of the test images expected in a given application, is critical for ensuring good performance of a visual categorization system. Obtaining ...
Aniruddha Kembhavi, Behjat Siddiquie, Roland Miezi...
LREC
2010
237views Education» more  LREC 2010»
15 years 7 months ago
Entity Mention Detection using a Combination of Redundancy-Driven Classifiers
We present an experimental framework for Entity Mention Detection in which two different classifiers are combined to exploit Data Redundancy attained through the annotation of a l...
Silvana Marianela Bernaola Biggio, Manuela Speranz...
EUSFLAT
2009
124views Fuzzy Logic» more  EUSFLAT 2009»
15 years 4 months ago
A toward Framework for Generic Uncertainty Management
The need for an automatic inference process able to deal with information coming from unreliable sources is becoming a relevant issue both on corporate networks and on the open Web...
Ernesto Damiani, Paolo Ceravolo, Marcello Leida
PRL
2002
91views more  PRL 2002»
15 years 5 months ago
StrCombo: combination of string recognizers
In this paper, we contribute a new paradigm of combining string recognizers and propose generic frameworks for hierarchical and parallel combination of multiple string recognizers...
Xiangyun Ye, Mohamed Cheriet, Ching Y. Suen
EPK
2004
215views Management» more  EPK 2004»
15 years 7 months ago
ARIS meets RUP: The ARIS Unified Information System Development Process
Abstract: Starting from the Rational Unified Process RUP and the ARIS life cycle model the ARIS Unified Information System Development Process AUP is designed. Similar as the RUP i...
Martin Plümicke