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AAAI
2012
13 years 1 days ago
A Testbed for Learning by Demonstration from Natural Language and RGB-Depth Video
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...
Young Chol Song, Henry A. Kautz
EELC
2006
121views Languages» more  EELC 2006»
15 years 1 months ago
Symbol Grounding Through Cumulative Learning
Abstract. We suggest that the primary motivation for an agent to construct a symbol-meaning mapping is to solve a task. The meaning space of an agent should be derived from the tas...
Samarth Swarup, Kiran Lakkaraju, Sylvian R. Ray, L...
EDOC
2005
IEEE
15 years 3 months ago
An Interactive Approach for Specifying OWL-S Groundings
12 OWL-S is an instance of the Web Ontology Language (OWL) that is used to describe and specify semantic web services. While OWL-S provides a promising mechanism for specification...
Gerald C. Gannod, Raynette J. Brodie, John T. E. T...
EMMCVPR
2001
Springer
15 years 2 months ago
A Hierarchical Markov Random Field Model for Figure-Ground Segregation
To segregate overlapping objects into depth layers requires the integration of local occlusion cues distributed over the entire image into a global percept. We propose to model thi...
Stella X. Yu, Tai Sing Lee, Takeo Kanade
IROS
2006
IEEE
165views Robotics» more  IROS 2006»
15 years 3 months ago
Grounded Situation Models for Robots: Where words and percepts meet
— Our long-term objective is to develop robots that engage in natural language-mediated cooperative tasks with humans. To support this goal, we are developing an amodal represent...
Nikolaos Mavridis, Deb Roy