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» Learning Object Representations Using Sequential Patterns
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ACCV
2010
Springer
13 years 2 months ago
Continuous Surface-Point Distributions for 3D Object Pose Estimation and Recognition
We present a 3D, probabilistic object-surface model, along with mechanisms for probabilistically integrating unregistered 2.5D views into the model, and for segmenting model instan...
Renaud Detry, Justus H. Piater
ICRA
2010
IEEE
134views Robotics» more  ICRA 2010»
13 years 6 months ago
Viewpoint detection models for sequential embodied object category recognition
Abstract— This paper proposes a method for learning viewpoint detection models for object categories that facilitate sequential object category recognition and viewpoint planning...
David Meger, Ankur Gupta, James J. Little
MIR
2004
ACM
110views Multimedia» more  MIR 2004»
14 years 28 days ago
Symbolic representation and retrieval of moving object trajectories
Searching moving object trajectories of video databases has been applied to many fields, such as video data analysis, content-based video retrieval, video scene classification. ...
Lei Chen 0002, M. Tamer Özsu, Vincent Oria
INFOVIS
2000
IEEE
13 years 12 months ago
Visualizing Sequential Patterns for Text Mining
A sequential pattern in data mining is a finite series of elements such as A → B → C → D where A, B, C, and D are elements of the same domain. The mining of sequential patte...
Pak Chung Wong, Wendy Cowley, Harlan Foote, Elizab...
CLOR
2006
13 years 11 months ago
Sequential Learning of Layered Models from Video
Abstract. A popular framework for the interpretation of image sequences is the layers or sprite model, see e.g. [1], [2]. Jojic and Frey [3] provide a generative probabilistic mode...
Michalis K. Titsias, Christopher K. I. Williams