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» An Overview of Associative Classifiers
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JCP
2008
151views more  JCP 2008»
14 years 9 months ago
The Emotion Sign: Human Motion Analysis Classifying Specific Emotion
We examine the relationship between human motion and emotions. With recent improvement of sensing technologies, although precise human motion can be measured, the amount of data gr...
Yuichi Kobayashi
CVPR
2009
IEEE
16 years 4 months ago
Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
Peter V. Gehler, Sebastian Nowozin
KES
2009
Springer
15 years 4 months ago
Urban Vehicle Tracking Using a Combined 3D Model Detector and Classifier
This paper presents a tracking system for vehicles in urban traffic scenes. The task of automatic video analysis for existing CCTV infrastructure is of increasing interest due to b...
Norbert Buch, Fei Yin, James Orwell, Dimitrios Mak...
ICC
2007
IEEE
203views Communications» more  ICC 2007»
15 years 4 months ago
A Multi-Scale Tomographic Algorithm for Detecting and Classifying Traffic Anomalies
—The occurrence of a traffic anomaly is always responsible for a degradation of performance. The anomaly can be observable, at some scale, in different ways: an increase in the n...
Silvia Farraposo, Philippe Owezarski, Edmundo Mont...
76
Voted
CEC
2007
IEEE
15 years 1 months ago
Evolving hypernetwork classifiers for microRNA expression profile analysis
Abstract-- High-throughput microarrays inform us on different outlooks of the molecular mechanisms underlying the function of cells and organisms. While computational analysis for ...
Sun Kim, Soo-Jin Kim, Byoung-Tak Zhang