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» An Overview of Associative Classifiers
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CVPR
2010
IEEE
15 years 2 months ago
On the design of robust classifiers for computer vision
The design of robust classifiers, which can contend with the noisy and outlier ridden datasets typical of computer vision, is studied. It is argued that such robustness requires l...
Hamed Masnadi-Shirazi, Nuno Vasconcelos, Vijay Mah...
IJCNN
2006
IEEE
15 years 3 months ago
SOM-Based Sparse Binary Encoding for AURA Classifier
—The AURA k-Nearest Neighbour classifier associates binary input and output vectors, forming a compact binary Correlation Matrix Memory (CMM). For a new input vector, matching ve...
Simon O'Keefe
ER
2004
Springer
348views Database» more  ER 2004»
15 years 3 months ago
Understanding Relationships: Classifying Verb Phrase Semantics
Abstract. Relationships are an essential part of the design of a database because they capture associations between things. Comparing and integrating relationships from heterogeneo...
Veda C. Storey, Sandeep Purao
IDEAL
2004
Springer
15 years 3 months ago
Learning to Classify Biomedical Terms Through Literature Mining and Genetic Algorithms.
We present an approach to classification of biomedical terms based on the information acquired automatically from the corpus of relevant literature. The learning phase consists of...
Irena Spasic, Goran Nenadic, Sophia Ananiadou
GI
2009
Springer
15 years 1 months ago
Classifying Privacy and Verifiability Requirements for Electronic Voting
Abstract: Voter privacy and verifiability are fundamental security concepts for electronic voting. Existing literature on electronic voting provides many definitions and interpreta...
Lucie Langer, Axel Schmidt, Melanie Volkamer, Joha...