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» Learning Models for Object Recognition
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IROS
2006
IEEE
125views Robotics» more  IROS 2006»
15 years 9 months ago
Surface Recognition by Registering Data Curves from Touch
Model-based recognition of an object typically involves matching dense 3D range data. The computational cost is directly affected by the amount of data of which a transformation n...
Rinat Ibrayev, Yan-Bin Jia
127
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EMNLP
2008
15 years 4 months ago
Phrase Translation Probabilities with ITG Priors and Smoothing as Learning Objective
The conditional phrase translation probabilities constitute the principal components of phrase-based machine translation systems. These probabilities are estimated using a heurist...
Markos Mylonakis, Khalil Sima'an
CVPR
2012
IEEE
13 years 5 months ago
Teaching 3D geometry to deformable part models
Current object class recognition systems typically target 2D bounding box localization, encouraged by benchmark data sets, such as Pascal VOC. While this seems suitable for the de...
Bojan Pepik, Michael Stark, Peter V. Gehler, Bernt...
PUC
2002
98views more  PUC 2002»
15 years 2 months ago
A User-Centered Location Model
: This paper discusses the user-centered location model used in comMotion. In this context, the location model refers to a set of learned places (destinations), which coincide to a...
Natalia Marmasse, Chris Schmandt
ICARCV
2002
IEEE
126views Robotics» more  ICARCV 2002»
15 years 8 months ago
Gesture recognition using a probabilistic framework for pose matching
This paper presents an approach for view-based recognition of gestures. The approach is based on representing each gesture as a sequence of learned body poses. The gestures are re...
Ahmed M. Elgammal, Vhay Shet, Yaser Yacoob, Larry ...