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AIEDU
2008
112views more  AIEDU 2008»
15 years 2 months ago
Be Brief, And They Shall Learn: Generating Concise Language Feedback for a Computer Tutor
To investigate whether more concise Natural Language feedback improves learning, we developed two Natural Language generators (DIAG-NLP1 and DIAG-NLP2), to provide feedback in an I...
Barbara Di Eugenio, Davide Fossati, Susan M. Halle...
ICPR
2008
IEEE
16 years 4 months ago
Learning motion patterns in crowded scenes using motion flow field
Learning typical motion patterns or activities from videos of crowded scenes is an important visual surveillance problem. To detect typical motion patterns in crowded scenarios, w...
Min Hu, Mubarak Shah, Saad Ali
IROS
2009
IEEE
205views Robotics» more  IROS 2009»
15 years 10 months ago
Model-based and learned semantic object labeling in 3D point cloud maps of kitchen environments
Abstract— We report on our experiences regarding the acquisition of hybrid Semantic 3D Object Maps for indoor household environments, in particular kitchens, out of sensed 3D poi...
Radu Bogdan Rusu, Zoltan Csaba Marton, Nico Blodow...
NIPS
2003
15 years 5 months ago
Learning the k in k-means
When clustering a dataset, the right number k of clusters to use is often not obvious, and choosing k automatically is a hard algorithmic problem. In this paper we present an impr...
Greg Hamerly, Charles Elkan
COGSCI
2006
62views more  COGSCI 2006»
15 years 3 months ago
Idiomatic Syntactic Constructions and Language Learning
This article explores the influence of idiomatic syntactic constructions (i.e., constructions whose phrase structure rules violate the rules that underlie the construction of othe...
Michael P. Kaschak, Jenny R. Saffran