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JMLR
2006
105views more  JMLR 2006»
15 years 6 months ago
Linear State-Space Models for Blind Source Separation
We apply a type of generative modelling to the problem of blind source separation in which prior knowledge about the latent source signals, such as time-varying auto-correlation a...
Rasmus Kongsgaard Olsson, Lars Kai Hansen
COSIT
2011
Springer
246views GIS» more  COSIT 2011»
14 years 6 months ago
The Social Connection in Mental Representations of Space: Explicit and Implicit Evidence
If spatial cognition hopes to understand memory of and reasoning about real-world environments, then all aspects of the environment, both spatial and non-spatial need to be conside...
Holly A. Taylor, Qi Wang, Stephanie A. Gagnon, Kei...
GECCO
2009
Springer
104views Optimization» more  GECCO 2009»
16 years 1 months ago
Sustaining diversity using behavioral information distance
Conventional similarity metrics used to sustain diversity in evolving populations are not well suited to sequential decision tasks. Genotypes and phenotypic structure are poor pre...
Faustino J. Gomez
WH
2010
171views Healthcare» more  WH 2010»
15 years 1 months ago
Evaluation of body sensor network platforms: a design space and benchmarking analysis
Body Sensor Networks (BSNs) consist of sensor nodes deployed on the human body for health monitoring. Each sensor node is implemented by interfacing a physiological sensor with a ...
Sidharth Nabar, Ayan Banerjee, Sandeep K. S. Gupta...
MICCAI
2009
Springer
16 years 7 months ago
Nonparametric Mean Shift Functional Detection in the Functional Space for Task and Resting-state fMRI
In functional Magnetic Resonance Imaging (fMRI) data analysis, normalization of time series is an important and sometimes necessary preprocessing step in many widely used methods. ...
Jian Cheng, Feng Shi, Kun Wang, Ming Song, Jiefeng...