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CVPR
2006
IEEE
14 years 9 months ago
Unsupervised Bayesian Detection of Independent Motion in Crowds
While crowds of various subjects may offer applicationspecific cues to detect individuals, we demonstrate that for the general case, motion itself contains more information than p...
Gabriel J. Brostow, Roberto Cipolla
CHI
2008
ACM
14 years 8 months ago
Intelligent object group selection
Current object group selection techniques such as lasso or rectangle selection can be time consuming and error prone. This is apparent when selecting distant objects on a large di...
Hoda Dehmeshki, Wolfgang Stürzlinger
CORR
2010
Springer
74views Education» more  CORR 2010»
13 years 7 months ago
Significance of Classification Techniques in Prediction of Learning Disabilities
The aim of this study is to show the importance of two classification techniques, viz. decision tree and clustering, in prediction of learning disabilities (LD) of school-age chil...
Julie M. David, Kannan Balakrishnan
NIPS
1997
13 years 9 months ago
Active Data Clustering
Active data clustering is a novel technique for clustering of proximity data which utilizes principles from sequential experiment design in order to interleave data generation and...
Thomas Hofmann, Joachim M. Buhmann
CEE
2011
106views more  CEE 2011»
12 years 11 months ago
LLACA: An adaptive localized clustering algorithm for wireless ad hoc networks
  Performance  of  ad  hoc  networks  dramatically  declines  as  network  grows.  Cluster  formation  in  which  the  network  hosts  are  hierarchically  part...
Javad Akbari Torkestani, Mohammad Reza Meybodi