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» Learning Nonlinear Manifolds from Time Series
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IPMI
2007
Springer
15 years 10 months ago
Shape Regression Machine
Abstract. We present a machine learning approach called shape regression machine (SRM) to segmenting in real time an anatomic structure that manifests a deformable shape in a medic...
Shaohua Kevin Zhou, Dorin Comaniciu
KDD
2008
ACM
186views Data Mining» more  KDD 2008»
15 years 10 months ago
Cut-and-stitch: efficient parallel learning of linear dynamical systems on smps
Multi-core processors with ever increasing number of cores per chip are becoming prevalent in modern parallel computing. Our goal is to make use of the multi-core as well as multi...
Lei Li, Wenjie Fu, Fan Guo, Todd C. Mowry, Christo...
64
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IPCC
1998
92views more  IPCC 1998»
14 years 11 months ago
Evaluating Distance Learning in Graduate Programs: Ensuring Rigorous, Rewarding Professional Education
: Internet-based distance learning programs make it possible for technical communicators located anywhere in the world to participate in graduate courses in their field. But are th...
George F. Hayhoe
JSS
2011
126views more  JSS 2011»
14 years 14 days ago
A novel statistical time-series pattern based interval forecasting strategy for activity durations in workflow systems
Forecasting workflow activity durations is of great importance to support satisfactory QoS in workflow systems. Traditionally, a workflow system is often designed to facilitate the...
Xiao Liu, Zhiwei Ni, Dong Yuan, Yuan-Chun Jiang, Z...
IJCNN
2008
IEEE
15 years 4 months ago
Kernel methods for fMRI pattern prediction
Abstract— In this paper, we present an effective computational approach for learning patterns of brain activity from the fMRI data. The procedure involved correcting motion artif...
Yizhao Ni, Carlton Chu, Craig J. Saunders, John As...