An object learning and recognition system is implemented for humanoid robots to discover and memorize objects only by simple interactions with non-expert users. When the object is presented, the system makes use of th...An object learning and recognition system is implemented for humanoid robots to discover and memorize objects only by simple interactions with non-expert users. When the object is presented, the system makes use of the motion information over consecutive frames to extract object features and implements machine learning based on the bag of visual words approach. Instead of using a local feature descriptor only, the proposed system uses the co-occurring local features in order to increase feature discriminative power for both object model learning and inference stages. For different objects with different textures, a hybrid sampling strategy is considered. This hybrid approach minimizes the consumption of computation resources and helps achieving good performances demonstrated on a set of a dozen different daily objects.展开更多
This paper introduces process writing approach, and theories of learner motivation and learner autonomy. A fieldwork experiment is conducted on the comparison of on-line learning and traditional face-to-face learning ...This paper introduces process writing approach, and theories of learner motivation and learner autonomy. A fieldwork experiment is conducted on the comparison of on-line learning and traditional face-to-face learning to find out whether on-line learning can improve learners' writing ability and learners motivation in EFL writing. The results show that on-line learning with its distinctive advantages where process writing approach can be carried out relatively easily can arouse learners' intrinsic motivation and enhance learner autonomy, thus improving learners' writing ability significantly.展开更多
基金The National Natural Science Foundation of China(No.60672094,60971098)
文摘An object learning and recognition system is implemented for humanoid robots to discover and memorize objects only by simple interactions with non-expert users. When the object is presented, the system makes use of the motion information over consecutive frames to extract object features and implements machine learning based on the bag of visual words approach. Instead of using a local feature descriptor only, the proposed system uses the co-occurring local features in order to increase feature discriminative power for both object model learning and inference stages. For different objects with different textures, a hybrid sampling strategy is considered. This hybrid approach minimizes the consumption of computation resources and helps achieving good performances demonstrated on a set of a dozen different daily objects.
文摘This paper introduces process writing approach, and theories of learner motivation and learner autonomy. A fieldwork experiment is conducted on the comparison of on-line learning and traditional face-to-face learning to find out whether on-line learning can improve learners' writing ability and learners motivation in EFL writing. The results show that on-line learning with its distinctive advantages where process writing approach can be carried out relatively easily can arouse learners' intrinsic motivation and enhance learner autonomy, thus improving learners' writing ability significantly.
