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» Classifier Combining Rules Under Independence Assumptions
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AAAI
1998
13 years 8 months ago
Learning to Classify Text from Labeled and Unlabeled Documents
In many important text classification problems, acquiring class labels for training documents is costly, while gathering large quantities of unlabeled data is cheap. This paper sh...
Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom...
IJPRAI
2008
235views more  IJPRAI 2008»
13 years 6 months ago
Shape-Based Individual/Group Detection for Sport Videos Categorization
We present a shape based method for automatic people detection and counting without any assumption or knowledge of camera motion. The proposed method is applied to athletic videos...
Costas Panagiotakis, Emmanuel Ramasso, Georgios Tz...
ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
13 years 4 months ago
Evaluating Statistical Tests for Within-Network Classifiers of Relational Data
Recently a number of modeling techniques have been developed for data mining and machine learning in relational and network domains where the instances are not independent and ide...
Jennifer Neville, Brian Gallagher, Tina Eliassi-Ra...
PAMI
2007
127views more  PAMI 2007»
13 years 6 months ago
Text-Independent Writer Identification and Verification Using Textural and Allographic Features
—The identification of a person on the basis of scanned images of handwriting is a useful biometric modality with application in forensic and historic document analysis and const...
Marius Bulacu, Lambert Schomaker
FUIN
2002
107views more  FUIN 2002»
13 years 6 months ago
Towards an Ontology of Approximate Reason
Abstract. This article introduces structural aspects in an ontology of approximate reason. The basic assumption in this ontology is that approximate reason is a capability of an ag...
James F. Peters, Andrzej Skowron, Jaroslaw Stepani...