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155
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BMCBI
2007
105views more  BMCBI 2007»
15 years 4 months ago
Finding regulatory elements and regulatory motifs: a general probabilistic framework
Over the last two decades a large number of algorithms has been developed for regulatory motif finding. Here we show how many of these algorithms, especially those that model bind...
Erik van Nimwegen
ICASSP
2011
IEEE
14 years 7 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...
TKDE
2008
146views more  TKDE 2008»
15 years 4 months ago
Toward Managing Uncertain Spatial Information for Situational Awareness Applications
Situational awareness (SA) applications monitor the real world and the entities therein to support tasks such as rapid decision making, reasoning, and analysis. Raw input about unf...
Yiming Ma, Dmitri V. Kalashnikov, Sharad Mehrotra
CORR
2011
Springer
173views Education» more  CORR 2011»
14 years 11 months ago
Probability Based Clustering for Document and User Properties
Information Retrieval systems can be improved by exploiting context information such as user and document features. This article presents a model based on overlapping probabilistic...
Thomas Mandl, Christa Womser-Hacker
128
Voted
ICIP
2007
IEEE
15 years 10 months ago
Key-Places Detection and Clustering in Movies Using Latent Aspects
We describe a new method to find and cluster recurrent keyplaces in a movie. It consists of an unsupervised classification of shots that are taking place in the same physical loca...
Maguelonne Héritier, Samuel Foucher, Langis...