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ICASSP
2010
IEEE
13 years 9 months ago
Sparse Bayesian step-filtering for high-throughput analysis of molecular machine dynamics
Nature has evolved many molecular machines such as kinesin, myosin, and the rotary flagellar motor powered by an ion current from the mitochondria. Direct observation of the step-...
Max A. Little, Nick S. Jones
IPM
2007
115views more  IPM 2007»
13 years 8 months ago
Use of place information for improved event tracking
The main purpose of topic detection and tracking (TDT) is to detect, group, and organize newspaper articles reporting on the same event. Since an event is a reported occurrence at...
Yun Jin, Sung-Hyon Myaeng, Yuchul Jung
IDA
2007
Springer
13 years 8 months ago
WWW traffic measure and its properties
Abstract. We present a method to extract a time series (Number of Active Requests (NAR)) from web cache logs which serves as a transport level measurement of internet traffic. This...
Marcus R. Keogh-Brown, Barbara Bogacka
EMMCVPR
2007
Springer
14 years 2 months ago
Bayesian Order-Adaptive Clustering for Video Segmentation
Video segmentation requires the partitioning of a series of images into groups that are both spatially coherent and smooth along the time axis. We formulate segmentation as a Bayes...
Peter Orbanz, Samuel Braendle, Joachim M. Buhmann
AAAI
2007
13 years 11 months ago
Modeling and Learning Vague Event Durations for Temporal Reasoning
This paper reports on our recent work on modeling and automatically extracting vague, implicit event durations from text (Pan et al., 2006a, 2006b). It is a kind of commonsense kn...
Feng Pan, Rutu Mulkar, Jerry R. Hobbs