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» The computational complexity of choice sets
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ICASSP
2011
IEEE
14 years 10 months ago
A Bayesian marked point process for object detection. Application to muse hyperspectral data
Marked point processes have received a great attention in the recent years, for their ability to extract objects in large data sets as those obtained in biological studies or hype...
Florent Chatelain, Aude Costard, Olivier J. J. Mic...
ICASSP
2011
IEEE
14 years 10 months ago
Outlier-aware robust clustering
Clustering is a basic task in a variety of machine learning applications. Partitioning a set of input vectors into compact, wellseparated subsets can be severely affected by the p...
Pedro A. Forero, Vassilis Kekatos, Georgios B. Gia...
INFOCOM
2011
IEEE
14 years 10 months ago
Scalable and fully distributed localization with mere connectivity
Abstract—This work proposes a novel connectivity-based localization algorithm, well suitable for large-scale sensor networks with complex shapes and non-uniform nodal distributio...
Miao Jin, Su Xia, Hongyi Wu, Xianfeng Gu
DLOG
2011
14 years 10 months ago
Unchain My EL Reasoner
We study a restriction of the classification procedure for EL++ where the inference rule for complex role inclusion axioms (RIAs) is applied in a “left-linear” way in analogy ...
Yevgeny Kazakov, Markus Krötzsch, Frantisek S...
BMCBI
2006
150views more  BMCBI 2006»
15 years 6 months ago
Cluster analysis of protein array results via similarity of Gene Ontology annotation
Background: With the advent of high-throughput proteomic experiments such as arrays of purified proteins comes the need to analyse sets of proteins as an ensemble, as opposed to t...
Cheryl Wolting, C. Jane McGlade, David Tritchler