22 search results - page 2 / 5 » Proximity-Based Anomaly Detection Using Sparse Structure Lea... |
87
Voted
ICML
2010
IEEE
2010
IEEE
Unsupervised Risk Stratification in Clinical Datasets: Identifying Patients at Risk of Rare Outcomes
15 years 2 months ago
Most existing algorithms for clinical risk stratification rely on labeled training data. Collecting this data is challenging for clinical conditions where only a small percentage ...
195
Voted
ICCV
2009
IEEE
16 years 6 months ago
2009
IEEE
We present a novel approach for detecting global behaviour
anomalies in multiple disjoint cameras by learning
time delayed dependencies between activities cross camera
views. Sp...
110
Voted
SDM
2007
SIAM
15 years 2 months ago
2007
SIAM
With recent advances in sensory and mobile computing technology, enormous amounts of data about moving objects are being collected. One important application with such data is aut...
143
Voted
DCOSS
2007
Springer
15 years 7 months ago
2007
Springer
Abstract. We develop a practical, distributed algorithm to detect events, identify measurement errors, and infer missing readings in ecological applications of wireless sensor netw...
110
Voted
CAIP
2003
Springer
15 years 6 months ago
2003
Springer
Abstract. Many classes of images exhibit sparse structuring of statistical dependency. Each variable has strong statistical dependency with a small number of other variables and ne...