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» Learning to Track with Multiple Observers
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DCOSS
2008
Springer
13 years 9 months ago
On the Deterministic Tracking of Moving Objects with a Binary Sensor Network
This paper studies the problem of associating deterministically a track revealed by a binary sensor network with the trajectory of a unique moving anonymous object, namely the Mult...
Yann Busnel, Leonardo Querzoni, Roberto Baldoni, M...
PERCOM
2011
ACM
12 years 11 months ago
Tracking vehicular speed variations by warping mobile phone signal strengths
—In this paper, we consider the problem of tracking fine-grained speeds variations of vehicles using signal strength traces from GSM enabled phones. Existing speed estimation te...
Gayathri Chandrasekaran, Tam Vu, Alexander Varshav...
SMI
2008
IEEE
126views Image Analysis» more  SMI 2008»
14 years 2 months ago
SHREC'08 entry: Semi-supervised learning for semantic 3D model retrieval
A shape feature by itself is not sufficient for effective 3D model retrieval. Long-lasting semantics shared by a community as well as a short-lived intention of a user determines ...
Akihiro Yamamoto, Masaki Tezuka, Toshiya Shimizu, ...
ICPR
2006
IEEE
14 years 9 months ago
Recognizing Facial Expressions by Tracking Feature Shapes
Reliable facial expression recognition by machine is still a challenging task. We propose a framework to recognise various expressions by tracking facial features. Our method uses...
Atul Kanaujia, Dimitris N. Metaxas
SIGMOD
2009
ACM
177views Database» more  SIGMOD 2009»
14 years 8 months ago
Exploiting context analysis for combining multiple entity resolution systems
Entity Resolution (ER) is an important real world problem that has attracted significant research interest over the past few years. It deals with determining which object descript...
Zhaoqi Chen, Dmitri V. Kalashnikov, Sharad Mehrotr...