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» Density Level Detection is Classification
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CVPR
2009
IEEE
16 years 8 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
15 years 8 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»
15 years 7 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»
15 years 1 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»
14 years 8 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