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» Density Level Detection is Classification
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CVPR
2009
IEEE
15 years 6 months ago
Dense saliency-based spatiotemporal feature points for action recognition
Several spatiotemporal feature point detectors have been recently used in video analysis for action recognition. Feature points are detected using a number of measures, namely sali...
Konstantinos Rapantzikos, Stefanos D. Kollias, Yan...
GLOBECOM
2009
IEEE
14 years 5 months ago
Maximum-Likelihood Sequence Detector for Dynamic Mode High Density Probe Storage
— There is an ever increasing need for storing data in smaller and smaller form factors driven by the ubiquitous use and increased demands of consumer electronics. A new approach...
Naveen Kumar, Pranav Agarwal, Aditya Ramamoorthy, ...
PSIVT
2007
Springer
239views Multimedia» more  PSIVT 2007»
14 years 5 months ago
People Counting in Low Density Video Sequences
This paper presents a novel approach for automatic people counting in videos captured through a conventional closed-circuit television (CCTV) using computer vision techniques. The ...
Jaime Dalla Valle, Luiz E. Soares de Oliveira, Ale...
BMCBI
2006
100views more  BMCBI 2006»
13 years 11 months ago
Design of microarray probes for virus identification and detection of emerging viruses at the genus level
Background: Most virus detection methods are geared towards the detection of specific single viruses or just a few known targets, and lack the capability to uncover the novel viru...
Cheng-Chung Chou, Te-Tsui Lee, Chun-Houh Chen, Hsi...
TR
2010
204views Hardware» more  TR 2010»
13 years 5 months ago
Anomaly Detection Through a Bayesian Support Vector Machine
This paper investigates the use of a one-class support vector machine algorithm to detect the onset of system anomalies, and trend output classification probabilities, as a way to ...
Vasilis A. Sotiris, Peter W. Tse, Michael Pecht