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» The Dark Side of Object Learning: Learning Objects
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ECCV
2008
Springer
14 years 11 months ago
Learning Spatial Context: Using Stuff to Find Things
The sliding window approach of detecting rigid objects (such as cars) is predicated on the belief that the object can be identified from the appearance in a small region around the...
Geremy Heitz, Daphne Koller
IJCAI
1997
13 years 10 months ago
Using Case-Based Reasoning in Interpreting Unsupervised Inductive Learning Results
The objective of this work is to interpret inductive results obtained by the unsupervised learning method OSHAM. We briefly introduce the learning process of OSHAM, that extracts ...
Tu Bao Ho, Chi Main Luong
CSEDU
2011
221views Education» more  CSEDU 2011»
12 years 8 months ago
Learning of Algorithms on Mobile Devices through Bluetooth, SMS AND MMS Technology
Teaching Institutions are up against challenges of an advanced technology of learning with the objective of improving the efficiency of the teaching-learning process. Joining the ...
Ricardo José dos Santos Barcelos, Liane Mar...
IROS
2008
IEEE
141views Robotics» more  IROS 2008»
14 years 3 months ago
Active sensing based dynamical object feature extraction
— This paper presents a method to autonomously extract object features that describe their dynamics from active sensing experiences. The model is composed of a dynamics learning ...
Shun Nishide, Tetsuya Ogata, Ryunosuke Yokoya, Jun...
IJON
2008
168views more  IJON 2008»
13 years 9 months ago
Spatial relationship representation for visual object searching
Image representation has been a key issue in vision research for many years. In order to represent various local image patterns or objects effectively, it is important to study th...
Jun Miao, Lijuan Duan, Laiyun Qing, Wen Gao, Xilin...