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» Growing semantically meaningful models for visual SLAM
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CVPR
2011
IEEE
13 years 1 months ago
Combining Randomization and Discrimination for Fine-Grained Image Categorization
In this paper, we study the problem of fine-grained image categorization. The goal of our method is to explore fine image statistics and identify the discriminative image patche...
Bangpeng Yao, Aditya Khosla, Li Fei-Fei
SOSYM
2002
188views more  SOSYM 2002»
13 years 4 months ago
Extending the Unified Modeling Language for ontology development
Abstract. There is rapidly growing momentum for web enabled agents that reason about and dynamically integrate the appropriate knowledge and services at run-time. The dynamic integ...
Kenneth Baclawski, Mieczyslaw M. Kokar, Paul A. Ko...
IROS
2006
IEEE
165views Robotics» more  IROS 2006»
13 years 11 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
ENTCS
2006
173views more  ENTCS 2006»
13 years 4 months ago
Concurrent LSC Verification: On Decomposition Properties of Partially Ordered Symbolic Automata
Partially Ordered Symbolic Automata (POSAs) are used as the semantical foundation of visual formalisms like the scenario based language of Live Sequence Charts (LSCs). To check whe...
Tobe Toben, Bernd Westphal
ICTAI
2009
IEEE
13 years 11 months ago
Change Tracer: Tracking Changes in Web Ontologies
Knowledge constantly grows in scientific discourse and is revised over time by domain experts. The body of knowledge will get structured and refined as the Communities of Practice...
Asad Masood Khattak, Khalid Latif, Manhyung Han, S...