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ICASSP
2011
IEEE
14 years 10 months ago
Detection of anomalous events from unlabeled sensor data in smart building environments
This paper presents a robust unsupervised learning approach for detection of anomalies in patterns of human behavior using multi-modal smart environment sensor data. We model the ...
Padmini Jaikumar, Aca Gacic, Burton Andrews, Micha...
SDM
2011
SIAM
307views Data Mining» more  SDM 2011»
14 years 9 months ago
Block-LDA: Jointly modeling entity-annotated text and entity-entity links
We present a model that improves entity entity link modeling in a mixed membership stochastic block model, by jointly modeling links with text about the entities that are linked i...
Ramnath Balasubramanyan, William W. Cohen
ICPR
2006
IEEE
16 years 8 months ago
A New Data Selection Principle for Semi-Supervised Incremental Learning
Current semi-supervised incremental learning approaches select unlabeled examples with predicted high confidence for model re-training. We show that for many applications this dat...
Alexander I. Rudnicky, Rong Zhang
266
Voted
SIGMOD
2009
ACM
228views Database» more  SIGMOD 2009»
16 years 7 months ago
Interactive anonymization of sensitive data
There has been much recent work on algorithms for limiting disclosure in data publishing. However, these algorithms have not been put to use in any comprehensive, usable toolkit f...
Xiaokui Xiao, Guozhang Wang, Johannes Gehrke
ICCS
2007
Springer
16 years 1 months ago
Dynamic Data-Driven Fault Diagnosis of Wind Turbine Systems
In this multi-university collaborative research, we will develop a framework for the dynamic data-driven fault diagnosis of wind turbines which aims at making the wind energy a com...
Yu Ding, Eunshin Byon, Chiwoo Park, Jiong Tang, Yi...