Results 161 to 170 of about 7,568,632 (195)
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Spatial Vision, 2000
Several aspects of systems for learning pattern or object recognition rules are discussed. First, how are recognition rules developed and to what extent is structural pattern information embedded into these recognition rules. Second, how are these rules applied to the recognition of complex patterns such as objects embedded in scenes and how is ...
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Several aspects of systems for learning pattern or object recognition rules are discussed. First, how are recognition rules developed and to what extent is structural pattern information embedded into these recognition rules. Second, how are these rules applied to the recognition of complex patterns such as objects embedded in scenes and how is ...
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Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), 2002
A learning account for the problem of object recognition is developed within the PAC (Probably Approximately Correct) model of learnability. The proposed approach makes no assumptions on the distribution of the observed objects, but quantifies success relative to its past experience. Most importantly, the success of learning an object representation is
Dan Roth 0001 +2 more
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A learning account for the problem of object recognition is developed within the PAC (Probably Approximately Correct) model of learnability. The proposed approach makes no assumptions on the distribution of the observed objects, but quantifies success relative to its past experience. Most importantly, the success of learning an object representation is
Dan Roth 0001 +2 more
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2002
In biological systems vision is always in the context of a particular body and tightly coupled to action. Therefore it is natural to consider visuo-motor methods (rather than vision alone) for learning about objects in the world. Indeed, initially it may be necessary to act on something to learn that it is an object!
Lorenzo Natale +2 more
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In biological systems vision is always in the context of a particular body and tightly coupled to action. Therefore it is natural to consider visuo-motor methods (rather than vision alone) for learning about objects in the world. Indeed, initially it may be necessary to act on something to learn that it is an object!
Lorenzo Natale +2 more
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Learning semantic object parts for object categorization
Image and Vision Computing, 2008Appearance-based approaches to object recognition mostly rely on measuring the visual similarity of objects based on global or local descriptors. They have shown great success in object identification but often do not generalize to the more challenging case of object categorization, where category membership is often decided not only on a level of ...
Bastian Leibe +2 more
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Automatically Learning to Teach to the Learning Objectives
Proceedings of the Third (2016) ACM Conference on Learning @ Scale, 2016We seek to automatically identify which items to include in a set of curriculum, and how to adaptively select these items, in order to maximize student performance on some specified set of learning objectives. Our experimental results with a histogram tutoring system suggest that Bayesian Optimization can quickly (with only a small amount of student ...
Rika Antonova +3 more
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Machine Learning for Classifying Learning Objects
2006 Canadian Conference on Electrical and Computer Engineering, 2006Building an ontology for learning objects can be useful for translating such objects between learning contexts. Such translations are important because they afford learners and educators with the opportunity to a survey a wide selection of learning and teaching material.
Girish R. Ranganathan +2 more
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2005
As we look to the future, we are poised at the edge of an ever-expanding universe of opportunities to learn. The Internet has opened the door for access to a vast amount of knowledge available to different users in different locations at the same time. The educational landscape is also changing to expand opportunities to learn at any time and any place
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As we look to the future, we are poised at the edge of an ever-expanding universe of opportunities to learn. The Internet has opened the door for access to a vast amount of knowledge available to different users in different locations at the same time. The educational landscape is also changing to expand opportunities to learn at any time and any place
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Object Flow: Learning Object Displacement
2011Modelling the dynamic behaviour of moving objects is one of the basic tasks in computer vision. In this paper, we introduce the Object Flow, for estimating both the displacement and the direction of an object-of-interest. Compared to the detection and tracking techniques, our approach obtains the object displacement directly similar to optical flow ...
Constantinos Lalos +3 more
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Intelligent Learning Objects: An Agent Based Approach of Learning Objects
2004Many researchers on Intelligent Learning Environments have proposed the use of Artificial Intelligence through architectures based on agents’ societies. Teaching systems based on Multi-Agent architectures make possible to support the development of more interactive and adaptable systems.
Ricardo Azambuja Silveira +3 more
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Learning objective functions for manipulation
2013 IEEE International Conference on Robotics and Automation, 2013We present an approach to learning objective functions for robotic manipulation based on inverse reinforcement learning. Our path integral inverse reinforcement learning algorithm can deal with high-dimensional continuous state-action spaces, and only requires local optimality of demonstrated trajectories.
Mrinal Kalakrishnan +3 more
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