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IBERAMIA
2010
Springer
13 years 7 months ago
Interaction Graphs for Multivariate Binary Data
We define a class of graphs that summarize in a compact visual way the interaction structure between binary multivariate characteristics. This allows studying the conditional depe...
Johan Van Horentonioeek, Jesús Emeterio Nav...
ICDM
2010
IEEE
168views Data Mining» more  ICDM 2010»
13 years 6 months ago
Anomaly Detection Using an Ensemble of Feature Models
We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...
Keith Noto, Carla E. Brodley, Donna K. Slonim
ICPR
2006
IEEE
14 years 9 months ago
An Empirical Model for Saturation and Capacity in Classifier Spaces
When assessing reported classification results based on selection of members from a database (e.g. a face database), one would like to know what is an achievable classification ra...
Robert B. Fisher
FGR
2004
IEEE
130views Biometrics» more  FGR 2004»
14 years 4 days ago
Sparse Models for Gender Classification
A class of sparse regularization functions are considered for the developing sparse classifiers for determining facial gender. The sparse classification method aims to both select...
Nicholas Costen, Martin Brown, Shigeru Akamatsu
SIGMOD
2006
ACM
194views Database» more  SIGMOD 2006»
14 years 8 months ago
Graph-based synopses for relational selectivity estimation
This paper introduces the Tuple Graph (TuG) synopses, a new class of data summaries that enable accurate selectivity estimates for complex relational queries. The proposed summari...
Joshua Spiegel, Neoklis Polyzotis