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IDA
2007
Springer
13 years 7 months ago
Removing biases in unsupervised learning of sequential patterns
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
Yoav Horman, Gal A. Kaminka
MICCAI
2007
Springer
14 years 1 months ago
A Clinically Motivated 2-Fold Framework for Quantifying and Classifying Immunohistochemically Stained Specimens
Motivated by the current limitations of automated quantitative image analysis in discriminating among intracellular immunohistochemical (IHC) staining patterns, this paper presents...
Bonnie Hall, Wenjin Chen, Michael Reiss, David J. ...
ECMDAFA
2006
Springer
228views Hardware» more  ECMDAFA 2006»
13 years 11 months ago
Model Driven Development of Multi-Agent Systems
Abstract. Design patterns are templates of general solutions to commonlyoccurring problems in the analysis and design of software systems. In mature development processes, engineer...
Juan Pavón, Jorge J. Gómez-Sanz, Rub...
CVPR
2009
IEEE
15 years 2 months ago
Anomaly Detection in Extremely Crowded Scenes using Spatio-Temporal Motion Pattern Models
Extremely crowded scenes present unique challenges to video analysis that cannot be addressed with conventional approaches. We present a novel statistical framework for modeling...
Louis Kratz (Drexel University), Ko Nishino (Drexe...
ADC
2006
Springer
188views Database» more  ADC 2006»
14 years 1 months ago
Discovering task-oriented usage pattern for web recommendation
Web transaction data usually convey user task-oriented behaviour pattern. Web usage mining technique is able to capture such informative knowledge about user task pattern from usa...
Guandong Xu, Yanchun Zhang, Xiaofang Zhou