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» Surrogate data: A novel approach to object detection
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BMCBI
2007
173views more  BMCBI 2007»
15 years 6 months ago
Predicting state transitions in the transcriptome and metabolome using a linear dynamical system model
Background: Modelling of time series data should not be an approximation of input data profiles, but rather be able to detect and evaluate dynamical changes in the time series dat...
Ryoko Morioka, Shigehiko Kanaya, Masami Y. Hirai, ...
ICRA
2008
IEEE
185views Robotics» more  ICRA 2008»
16 years 19 days ago
Human detection using multimodal and multidimensional features
— This paper presents a novel human detection method based on a Bayesian fusion approach using laser range data and camera images. Laser range data analysis groups data points wi...
Luciano Spinello, Roland Siegwart
ICDM
2010
IEEE
168views Data Mining» more  ICDM 2010»
15 years 4 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
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 11 months ago
Applying both positive and negative selection to supervised learning for anomaly detection
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
Xiaoshu Hang, Honghua Dai
CSMR
2011
IEEE
14 years 10 months ago
Sub-graph Mining: Identifying Micro-architectures in Evolving Object-Oriented Software
Abstract—Developers introduce novel and undocumented micro-architectures when performing evolution tasks on object-oriented applications. We are interested in understanding wheth...
Ahmed Belderrar, Segla Kpodjedo, Yann-Gaël Gu...