110 search results - page 17 / 22 » Neural Meshes: Statistical Learning Based on Normals |
ADHOCNETS
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. This paper addresses the detection and reporting of abnormal building access with a wireless sensor network. A common office room, offering space for two working persons...
TREC
2004
13 years 9 months ago
2004
While participating in the HARD track our first question was, what an IR-application should look like that takes into account preference meta-data from the user, without the need ...
KDD
2005
ACM
14 years 8 months ago
2005
ACM
Addressed in this paper is the issue of `email data cleaning' for text mining. Many text mining applications need take emails as input. Email data is usually noisy and thus i...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
DAGSTUHL
2009
13 years 8 months ago
2009
Abstract. In this paper we elaborate on the challenges of learning manifolds that have many relevant clusters, and where the clusters can have widely varying statistics. We call su...