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» Learning Classifiers from Semantically Heterogeneous Data
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CVPR
2007
IEEE
14 years 11 months ago
Combining Static Classifiers and Class Syntax Models for Logical Entity Recognition in Scanned Historical Documents
Class syntax can be used to 1) model temporal or locational evolvement of class labels of feature observation sequences, 2) correct classification errors of static classifiers if ...
Song Mao, Praveer Mansukhani, George R. Thoma
CVPR
2008
IEEE
14 years 11 months ago
Semantic-based indexing of fetal anatomies from 3-D ultrasound data using global/semi-local context and sequential sampling
The use of 3-D ultrasound data has several advantages over 2-D ultrasound for fetal biometric measurements, such as considerable decrease in the examination time, possibility of p...
Gustavo Carneiro, Fernando Amat, Bogdan Georgescu,...
ICASSP
2010
IEEE
13 years 9 months ago
Detecting local semantic concepts in environmental sounds using Markov model based clustering
Detecting the time of occurrence of an acoustic event (for instance, a cheer) embedded in a longer soundtrack is useful and important for applications such as search and retrieval...
Keansub Lee, Daniel P. W. Ellis, Alexander C. Loui
HPDC
2008
IEEE
14 years 3 months ago
Harmony: an execution model and runtime for heterogeneous many core systems
The emergence of heterogeneous many core architectures presents a unique opportunity for delivering order of magnitude performance increases to high performance applications by ma...
Gregory F. Diamos, Sudhakar Yalamanchili
SAC
2006
ACM
14 years 2 months ago
Ontology-based integration for relational databases
In this paper, we show that representation and reasoning techniques used in traditional knowledge engineering and the emerging Semantic Web can play an important role for heteroge...
Dejing Dou, Paea LePendu