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» On Kernel Methods for Relational Learning
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ICASSP
2009
IEEE
14 years 5 months ago
Acoustic fall detection using Gaussian mixture models and GMM supervectors
We present a system that detects human falls in the home environment, distinguishing them from competing noise, by using only the audio signal from a single far-field microphone....
Xiaodan Zhuang, Jing Huang, Gerasimos Potamianos, ...
INFOCOM
2009
IEEE
14 years 4 months ago
Sensor Network Localization Using Sensor Perturbation
—Sensor network localization is an instance of the NP-HARD graph realization problem. Thus, methods used in practice are not guaranteed to find the correct localization, even if...
Yuanchen Zhu, Steven J. Gortler, Dylan Thurston
ISBI
2007
IEEE
14 years 4 months ago
Perceptual Grouping of Membrane Signals in Cell-Based Assays
Membrane proteins organize themselves in a linear fashion where adjacent cells are attached together along the basal-lateral region. Their intensity distributions are often hetero...
Hang Chang, Kumari L. Andarawewa, Ju Han, Mary Hel...
COORDINATION
2007
Springer
14 years 4 months ago
Reactors: A Data-Oriented Synchronous/Asynchronous Programming Model for Distributed Applications
Our aim is to define the kernel of a simple and uniform programming model—the reactor model—suitable for building and evolving internet-scale programs. A reactor consists of t...
John Field, Maria-Cristina V. Marinescu, Christian...
ICCV
2005
IEEE
14 years 3 months ago
Bayesian Body Localization Using Mixture of Nonlinear Shape Models
We present a 2D model-based approach to localizing human body in images viewed from arbitrary and unknown angles. The central component is a statistical shape representation of th...
Jiayong Zhang, Robert T. Collins, Yanxi Liu