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KDD
2005
ACM
127views Data Mining» more  KDD 2005»
16 years 4 months ago
Detection of emerging space-time clusters
We propose a new class of spatio-temporal cluster detection methods designed for the rapid detection of emerging space-time clusters. We focus on the motivating application of pro...
Daniel B. Neill, Andrew W. Moore, Maheshkumar Sabh...
144
Voted
RTSS
2009
IEEE
15 years 10 months ago
Impact of Data Fusion on Real-Time Detection in Sensor Networks
—Real-time detection is an important requirement of many mission-critical wireless sensor network applications such as battlefield monitoring and security surveillance. Due to t...
Rui Tan, Guoliang Xing, Benyuan Liu, Jianping Wang
131
Voted
KDD
2009
ACM
193views Data Mining» more  KDD 2009»
15 years 10 months ago
Category detection using hierarchical mean shift
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...
Pavan Vatturi, Weng-Keen Wong
149
Voted
CDC
2009
IEEE
129views Control Systems» more  CDC 2009»
15 years 8 months ago
Resource allocation for signal detection with active sensors
— We consider the problem of determining the existence of known constant signals over a set of sites, given noisy measurements obtained by a team of active sensors that can switc...
Jerome Le Ny, Michael M. Zavlanos, George J. Pappa...
131
Voted
TCSV
2008
313views more  TCSV 2008»
15 years 3 months ago
Fast Pedestrian Detection Using a Cascade of Boosted Covariance Features
Efficiently and accurately detecting pedestrians plays a very important role in many computer vision applications such as video surveillance and smart cars. In order to find the ri...
Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhan...