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» Learning a Generative Model for Structural Representations
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CVPR
2011
IEEE
13 years 5 months ago
Learning to Recognize Objects in Egocentric Activities
This paper addresses the problem of learning object models from egocentric video of household activities, using extremely weak supervision. For each activity sequence, we know onl...
Alireza Fathi, Xiaofeng Ren, James Rehg
AAAI
2006
13 years 10 months ago
From Pigeons to Humans: Grounding Relational Learning in Concrete Examples
We present a cognitive model that bridges work in analogy and category learning. The model, Building Relations through Instance Driven Gradient Error Shifting (BRIDGES), extends A...
Marc T. Tomlinson, Bradley C. Love
EMMCVPR
2007
Springer
14 years 3 months ago
Compositional Object Recognition, Segmentation, and Tracking in Video
Abstract. The complexity of visual representations is substantially limited by the compositional nature of our visual world which, therefore, renders learning structured object mod...
Björn Ommer, Joachim M. Buhmann
GECCO
2009
Springer
14 years 3 months ago
On the scalability of XCS(F)
Many successful applications have proven the potential of Learning Classifier Systems and the XCS classifier system in particular in datamining, reinforcement learning, and func...
Patrick O. Stalph, Martin V. Butz, David E. Goldbe...
MM
1996
ACM
168views Multimedia» more  MM 1996»
14 years 1 months ago
Do Story Agents Use Rocking Chairs? The Theory and Implementation of One Model for Computational Narrative
Narrative structure models are useful tools for understanding how and why narratives of any medium affect an audience's level of participation in their role of story reconstr...
Kevin M. Brooks