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» Unsupervised Recursive Sequence Processing
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ICCV
2007
IEEE
14 years 10 months ago
Real-time Body Tracking Using a Gaussian Process Latent Variable Model
In this paper, we present a tracking framework for capturing articulated human motions in real-time, without the need for attaching markers onto the subject's body. This is a...
Shaobo Hou, Aphrodite Galata, Fabrice Caillette, N...
JPDC
2007
167views more  JPDC 2007»
13 years 8 months ago
On the design of high-performance algorithms for aligning multiple protein sequences on mesh-based multiprocessor architectures
In this paper, we address the problem of multiple sequence alignment (MSA) for handling very large number of proteins sequences on mesh-based multiprocessor architectures. As the ...
Diana H. P. Low, Bharadwaj Veeravalli, David A. Ba...
COLT
1992
Springer
14 years 16 days ago
Language Learning from Stochastic Input
Language learning from positive data in the Gold model of inductive inference is investigated in a setting where the data can be modeled as a stochastic process. Specifically, the...
Shyam Kapur, Gianfranco Bilardi
BMCBI
2008
99views more  BMCBI 2008»
13 years 8 months ago
Binning sequences using very sparse labels within a metagenome
Background: In metagenomic studies, a process called binning is necessary to assign contigs that belong to multiple species to their respective phylogenetic groups. Most of the cu...
Chon-Kit Kenneth Chan, Arthur L. Hsu, Saman K. Hal...
ECCV
2010
Springer
13 years 11 months ago
Multiple Hypothesis Video Segmentation from Superpixel Flows
Multiple Hypothesis Video Segmentation (MHVS) is a method for the unsupervised photometric segmentation of video sequences. MHVS segments arbitrarily long video streams by consider...