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PCI
2005
Springer
16 years 4 days ago
Unsupervised Learning of Multiple Aspects of Moving Objects from Video
A popular framework for the interpretation of image sequences is based on the layered model; see e.g. Wang and Adelson [8], Irani et al. [2]. Jojic and Frey [3] provide a generativ...
Michalis K. Titsias, Christopher K. I. Williams
EEMMAS
2007
Springer
16 years 25 days ago
Prediction Horizons in Agent Models
One motivation for many agent-based models is to predict the future. The nonlinearity of agent interactions in most non-trivial domains mean that the usefulness of such prediction...
H. Van Dyke Parunak, Theodore C. Belding, Sven A. ...
TCSV
2008
130views more  TCSV 2008»
15 years 6 months ago
Fast H.264/MPEG-4 AVC Transcoding Using Power-Spectrum Based Rate-Distortion Optimization
Since variable block-size motion compensation (MC) and rate-distortion optimization (RDO) techniques are adopted in H.264/MPEG-4 AVC, modes and motion vectors (MVs) in input stream...
Huifeng Shen, Xiaoyan Sun, Feng Wu
CVPR
2011
IEEE
15 years 2 months ago
Distributed Computer Vision Algorithms Through Distributed Averaging
Traditional computer vision and machine learning algorithms have been largely studied in a centralized setting, where all the processing is performed at a single central location....
Roberto Tron, René, Vidal
BMCBI
2007
138views more  BMCBI 2007»
15 years 6 months ago
A full Bayesian hierarchical mixture model for the variance of gene differential expression
Background: In many laboratory-based high throughput microarray experiments, there are very few replicates of gene expression levels. Thus, estimates of gene variances are inaccur...
Samuel O. M. Manda, Rebecca E. Walls, Mark S. Gilt...