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ICCV
2005
IEEE
15 years 9 months ago
Learning Hierarchical Models of Scenes, Objects, and Parts
We describe a hierarchical probabilistic model for the detection and recognition of objects in cluttered, natural scenes. The model is based on a set of parts which describe the e...
Erik B. Sudderth, Antonio B. Torralba, William T. ...
119
Voted
LEGE
2004
169views Education» more  LEGE 2004»
15 years 5 months ago
Building Assessment Web Service from Question Type Learning Objects
In this paper we discuss the TestTool system as an established testing system model, the one that is being used in real educational settings and supports self-assessment as well as...
Vytautas Reklaitis, Kazys Baniulis, Nerijus Auksta...
129
Voted
PAA
2006
15 years 3 months ago
An empirical study of machine learning techniques for affect recognition in human-robot interaction
Abstract Given the importance of implicit communication in human interactions, it would be valuable to have this capability in robotic systems wherein a robot can detect the motiva...
Pramila Rani, Changchun Liu, Nilanjan Sarkar, Eric...
ICPR
2008
IEEE
16 years 4 months ago
Unfolding warping for object recognition
In practice, understanding the spatial relationships between the surfaces of an object, can significantly improve the performance of object recognition systems. In this paper we p...
Jun Xie, Min Hu, Mubarak Shah
104
Voted
ICALT
2007
IEEE
15 years 10 months ago
AirTransNote: An Instant Note Sharing and Reproducing System to Support Students Learning
We developed AirTransNote, an interactive learning system augmented by digital pens and PDAs for each student. All notes written on regular paper sheets are immediately digitized ...
Motoki Miura, Susumu Kunifuji, Yasuyuki Sakamoto