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BMCBI
2010
143views more  BMCBI 2010»
15 years 4 months ago
Learning gene regulatory networks from only positive and unlabeled data
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
Luigi Cerulo, Charles Elkan, Michele Ceccarelli
CVPR
2006
IEEE
16 years 6 months ago
Incremental learning of object detectors using a visual shape alphabet
We address the problem of multiclass object detection. Our aims are to enable models for new categories to benefit from the detectors built previously for other categories, and fo...
Andreas Opelt, Axel Pinz, Andrew Zisserman
ICDM
2008
IEEE
146views Data Mining» more  ICDM 2008»
15 years 10 months ago
Isolation Forest
Most existing model-based approaches to anomaly detection construct a profile of normal instances, then identify instances that do not conform to the normal profile as anomalies...
Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou
ECCV
2010
Springer
15 years 7 months ago
Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification
Abstract. Much recent research in human activity recognition has focused on the problem of recognizing simple repetitive (walking, running, waving) and punctual actions (sitting up...
AAAI
2010
15 years 5 months ago
Goal-Driven Autonomy in a Navy Strategy Simulation
Modern complex games and simulations pose many challenges for an intelligent agent, including partial observability, continuous time and effects, hostile opponents, and exogenous ...
Matthew Molineaux, Matthew Klenk, David W. Aha