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NIPS
2004
15 years 8 months ago
Contextual Models for Object Detection Using Boosted Random Fields
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
Antonio Torralba, Kevin P. Murphy, William T. Free...
NAACL
2001
15 years 8 months ago
SPoT: A Trainable Sentence Planner
Sentence planning is a set of inter-related but distinct tasks, one of which is sentence scoping, i.e. the choice of syntactic structure for elementary speech acts and the decisio...
Marilyn A. Walker, Owen Rambow, Monica Rogati
166
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OAS
2003
15 years 8 months ago
Collaborative Understanding of Distributed Ontologies in a Multiagent Framework: Design and Experiments
In this paper, we describe our work-in-progress with collaborative understanding of distributed ontologies in a multiagent framework. As reported earlier, the objective of this fr...
Leen-Kiat Soh
AAAI
1994
15 years 8 months ago
Recovering Software Specifications with Inductive Logic Programming
We consider using machine learning techniques to help understand a large software system. In particular, we describe how learning techniques can be used to reconstruct abstract Da...
William W. Cohen
AAAI
1996
15 years 8 months ago
Scaling up Logic-Based Truth Maintenance Systems via Fact Garbage Collection
Truth maintenance systems provide caches of beliefs and inferences that support explanations and search. Traditionally, the cost of using a TMS is monotonic growth in the size of ...
John O. Everett, Kenneth D. Forbus