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» Anomaly Detection Using an Ensemble of Feature Models
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NAACL
2003
13 years 9 months ago
Semantic Language Models for Topic Detection and Tracking
In this work, we present a new semantic language modeling approach to model news stories in the Topic Detection and Tracking (TDT) task. In the new approach, we build a unigram la...
Ramesh Nallapati
PKDD
2009
Springer
113views Data Mining» more  PKDD 2009»
14 years 2 months ago
Feature Selection for Density Level-Sets
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eï¬...
Marius Kloft, Shinichi Nakajima, Ulf Brefeld
EMNLP
2009
13 years 5 months ago
Classifier Combination for Contextual Idiom Detection Without Labelled Data
We propose a novel unsupervised approach for distinguishing literal and non-literal use of idiomatic expressions. Our model combines an unsupervised and a supervised classifier. T...
Linlin Li, Caroline Sporleder
ICASSP
2011
IEEE
12 years 11 months ago
Combining generic and class-specific codebooks for object categorization and detection
Combining advantages of shape and appearance features, we propose a novel model that integrates these two complementary features into a common framework for object categorization ...
Hong Pan, Yaping Zhu, Liang-Zheng Xia, Truong Q. N...
HYBRID
1995
Springer
13 years 11 months ago
Diagnostic Model-Checking for Real-Time Systems
Uppaal is a new tool suit for automatic veri cation of networks of timed automata. In this paper we describe the diagnostic model-checking feature of Uppaal and illustrates its use...
Kim Guldstrand Larsen, Paul Pettersson, Wang Yi