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» Learning Models for Object Recognition
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CHI
2009
ACM
16 years 7 months ago
WIIS: multimodal simulation for exploring the world beyond visual sense
This paper describes a pilot study of a computer simulation called WIIS, which is designed to extend students' learning experience of the sizes of the objects beyond human vi...
Minyoung Song, Chris Quintana
DAGM
2005
Springer
16 years 1 days ago
Goal-Directed Search with a Top-Down Modulated Computational Attention System
In this paper we present VOCUS: a robust computational attention system for goal-directed search. A standard bottom-up architecture is extended by a top-down component, enabling th...
Simone Frintrop, Gerriet Backer, Erich Rome
ICCV
2011
IEEE
14 years 6 months ago
Dynamic Manifold Warping for View Invariant Action Recognition
We address the problem of learning view-invariant 3D models of human motion from motion capture data, in order to recognize human actions from a monocular video sequence with arbi...
Dian Gong, Gerard Medioni
SDM
2009
SIAM
394views Data Mining» more  SDM 2009»
16 years 3 months ago
Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
Oksana Yakhnenko, Vasant Honavar
FLAIRS
2006
15 years 8 months ago
Managing Student Emotions in Intelligent Tutoring Systems
1 In the classic educational context, observing and identifying learner's emotional response allow the teacher to adapt the lesson, with the aim of improving the quality of th...
Roger Nkambou