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» On Combining Classifiers
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IDEAL
2000
Springer
14 years 7 days ago
Quantization of Continuous Input Variables for Binary Classification
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Michal Skubacz, Jaakko Hollmén
INFOCOM
2000
IEEE
14 years 7 days ago
A Modular Approach to Packet Classification: Algorithms and Results
The ability to classify packets according to pre-defined rules is critical to providing many sophisticated value-added services, such as security, QoS, load balancing, traffic acco...
Thomas Y. C. Woo
ICPR
2010
IEEE
13 years 12 months ago
Recognition and Prediction of Situations in Urban Traffic Scenarios
The recognition and prediction of intersection situations and an accompanying threat assessment are an indispensable skill of future driver assistance systems. This study focuses o...
Eugen Käfer, Christoph Hermes, Christian Wöhler,...
BMVC
2001
13 years 11 months ago
Adaptive Visual System for Tracking Low Resolution Colour Targets
This paper addresses the problem of using appearance and motion models in classifying and tracking objects when detailed information of the object’s appearance is not available....
Pakorn KaewTrakulPong, Richard Bowden
AIRS
2008
Springer
13 years 10 months ago
Comparing Dissimilarity Measures for Content-Based Image Retrieval
Abstract. Dissimilarity measurement plays a crucial role in contentbased image retrieval, where data objects and queries are represented as vectors in high-dimensional content feat...
Haiming Liu 0002, Dawei Song, Stefan M. Rüger...