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» Teaching Bottom-up AI from the Top Down
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ECCV
2008
Springer
14 years 6 months ago
Object Detection from Large-Scale 3D Datasets Using Bottom-Up and Top-Down Descriptors
We propose an approach for detecting objects in large-scale range datasets that combines bottom-up and top-down processes. In the bottom-up stage, fast-to-compute local descriptors...
Alexander Patterson, Philippos Mordohai, Kostas Da...
WAPCV
2007
Springer
13 years 10 months ago
Learning to Attend - From Bottom-Up to Top-Down
The control of overt visual attention relies on an interplay of bottom-up and top-down mechanisms. Purely bottom-up models may provide a reasonable account of the looking behaviors...
Hector Jasso, Jochen Triesch
AIRS
2010
Springer
13 years 2 months ago
Top-Down and Bottom-Up: A Combined Approach to Slot Filling
The Slot Filling task requires a system to automatically distill information from a large document collection and return answers for a query entity with specified attributes (`slot...
Zheng Chen, Suzanne Tamang, Adam Lee, Xiang Li, Ma...
FLAIRS
1998
13 years 5 months ago
Teaching Bottom-up AI from the Top Down
For many reasons, it is desirable to use robots in courses such as introductory computer science, artificial intelligence, and cognitive science, yet the knowledge normally require...
Christopher A. Welty, Kenneth Livingston, Calder M...
ACL
2010
13 years 2 months ago
Top-Down K-Best A* Parsing
We propose a top-down algorithm for extracting k-best lists from a parser. Our algorithm, TKA is a variant of the kbest A (KA) algorithm of Pauls and Klein (2009). In contrast to ...
Adam Pauls, Dan Klein, Chris Quirk