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» Unsupervised Outlier Detection in Time Series Data
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NIPS
2008
13 years 9 months ago
Adaptive Template Matching with Shift-Invariant Semi-NMF
How does one extract unknown but stereotypical events that are linearly superimposed within a signal with variable latencies and variable amplitudes? One could think of using temp...
Jonathan Le Roux, Alain de Cheveigné, Lucas...
ICCV
2009
IEEE
6637views Computer Vision» more  ICCV 2009»
15 years 1 months ago
A Markov Clustering Topic Model for Mining Behaviour in Video
This paper addresses the problem of fully automated mining of public space video data. A novel Markov Clustering Topic Model (MCTM) is introduced which builds on existing Dynami...
Timothy Hospedales, Shaogang Gong, Tao Xiang
KDD
2004
ACM
207views Data Mining» more  KDD 2004»
14 years 8 months ago
Belief state approaches to signaling alarms in surveillance systems
Surveillance systems have long been used to monitor industrial processes and are becoming increasingly popular in public health and anti-terrorism applications. Most early detecti...
Kaustav Das, Andrew W. Moore, Jeff G. Schneider
BIBE
2008
IEEE
203views Bioinformatics» more  BIBE 2008»
14 years 2 months ago
A study of the parameters affecting minimum detectable activity concentration level of clinical LSO PET scanners
— Recent studies in the field of molecular imaging have demonstrated the need for PET probes capable of imaging very weak activity distributions. Over this range of applications ...
Nicolas A. Karakatsanis, Konstantina S. Nikita
DAWAK
2007
Springer
14 years 2 months ago
Mining Top-K Multidimensional Gradients
Several business applications such as marketing basket analysis, clickstream analysis, fraud detection and churning migration analysis demand gradient data analysis. By employing g...
Ronnie Alves, Orlando Belo, Joel Ribeiro