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» Using a Non-prior Training Active Feature Model
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ICIAR
2009
Springer
15 years 2 months ago
Abnormal Behavior Recognition Using Self-Adaptive Hidden Markov Models
A self-adaptive Hidden Markov Model (SA-HMM) based framework is proposed for behavior recognition in this paper. In this model, if an unknown sequence cannot be classified into an...
Jun Yin, Yan Meng
DATESO
2009
269views Database» more  DATESO 2009»
14 years 7 months ago
The BPM to UML activity diagram transformation using XSLT
The Business Process Model represented as a diagram in Business Process Modeling Notation (BPMN) is a commonly used way how to describe business processes of an organization. Probl...
Ondrej Macek, Karel Richta
ICDM
2010
IEEE
217views Data Mining» more  ICDM 2010»
14 years 7 months ago
Discovering Temporal Features and Relations of Activity Patterns
An important problem that arises during the data mining process in many new emerging application domains is mining data with temporal dependencies. One such application domain is a...
Ehsan Nazerfard, Parisa Rashidi, Diane J. Cook
ICPR
2006
IEEE
15 years 10 months ago
Recognizing Facial Expressions by Tracking Feature Shapes
Reliable facial expression recognition by machine is still a challenging task. We propose a framework to recognise various expressions by tracking facial features. Our method uses...
Atul Kanaujia, Dimitris N. Metaxas
PKDD
2007
Springer
91views Data Mining» more  PKDD 2007»
15 years 3 months ago
Domain Adaptation of Conditional Probability Models Via Feature Subsetting
The goal in domain adaptation is to train a model using labeled data sampled from a domain different from the target domain on which the model will be deployed. We exploit unlabel...
Sandeepkumar Satpal, Sunita Sarawagi