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» Using Gaussian Processes to Optimize Expensive Functions
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ICIP
2009
IEEE
14 years 11 months ago
Illumination Invariant Unsupervised Segmenter
A novel illumination invariant unsupervised multispectral texture segmentation method with unknown number of classes is presented. Multispectral texture mosaics are locally repres...
ICASSP
2010
IEEE
13 years 10 months ago
Swift: Scalable weighted iterative sampling for flow cytometry clustering
Flow cytometry (FC) is a powerful technology for rapid multivariate analysis and functional discrimination of cells. Current FC platforms generate large, high-dimensional datasets...
Iftekhar Naim, Suprakash Datta, Gaurav Sharma, Jam...
AUTOMATICA
2010
167views more  AUTOMATICA 2010»
13 years 10 months ago
A new kernel-based approach for linear system identification
This paper describes a new kernel-based approach for linear system identification of stable systems. We model the impulse response as the realization of a Gaussian process whose s...
Gianluigi Pillonetto, Giuseppe De Nicolao
RAS
2010
216views more  RAS 2010»
13 years 8 months ago
A nonparametric learning approach to range sensing from omnidirectional vision
We present a novel approach to estimating depth from single omnidirectional camera images by learning the relationship between visual features and range measurements available dur...
Christian Plagemann, Cyrill Stachniss, Jürgen...
ICASSP
2011
IEEE
13 years 2 months ago
Local probability distribution of natural signals in sparse domains
—In this paper we investigate the local probability density function (pdf) of natural signals in sparse domains. The statistical properties of natural signals are characterized m...
Hossein Rabbani, Saeed Gazor