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» On Feature Extraction via Kernels
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CVPR
2008
IEEE
14 years 12 months ago
Learning human actions via information maximization
In this paper, we present a novel approach for automatically learning a compact and yet discriminative appearance-based human action model. A video sequence is represented by a ba...
Jingen Liu, Mubarak Shah
GFKL
2007
Springer
152views Data Mining» more  GFKL 2007»
14 years 4 months ago
Supporting Web-based Address Extraction with Unsupervised Tagging
Abstract. The manual acquisition and modeling of tourist information as e.g. addresses of points of interest is time and, therefore, cost intensive. Furthermore, the encoded inform...
Berenike Loos, Chris Biemann
PAA
2006
13 years 9 months ago
Audio-visual sports highlights extraction using Coupled Hidden Markov Models
We present our studies on the application of Coupled Hidden Markov Models(CHMMs) to sports highlights extraction from broadcast video using both audio and video information. First,...
Ziyou Xiong
BMCBI
2010
158views more  BMCBI 2010»
13 years 10 months ago
A Bayesian network approach to feature selection in mass spectrometry data
Background: Time-of-flight mass spectrometry (TOF-MS) has the potential to provide non-invasive, high-throughput screening for cancers and other serious diseases via detection of ...
Karl W. Kuschner, Dariya I. Malyarenko, William E....
SIGMETRICS
2009
ACM
103views Hardware» more  SIGMETRICS 2009»
14 years 4 months ago
Restrained utilization of idleness for transparent scheduling of background tasks
A common practice in system design is to treat features intended to enhance performance and reliability as low priority tasks by scheduling them during idle periods, with the goal...
Ningfang Mi, Alma Riska, Xin Li, Evgenia Smirni, E...