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» Using Random Forests in the Structured Language Model
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AAAI
2004
14 years 11 months ago
Interactive Information Extraction with Constrained Conditional Random Fields
Information Extraction methods can be used to automatically "fill-in" database forms from unstructured data such as Web documents or email. State-of-the-art methods have...
Trausti T. Kristjansson, Aron Culotta, Paul A. Vio...
CASES
2007
ACM
15 years 1 months ago
Compiler generation from structural architecture descriptions
With increasing complexity of modern embedded systems, the availability of highly optimizing compilers becomes more and more important. At the same time, application specific inst...
Florian Brandner, Dietmar Ebner, Andreas Krall
ICWE
2009
Springer
15 years 2 months ago
Conceptual Modeling of Multimedia Search Applications Using Rich Process Models
With the advent of the Web, search has become the prominent paradigm for information seeking, not only across the online space but also within enterprises. Search engine functiona...
Alessandro Bozzon, Marco Brambilla, Piero Fraterna...
ATAL
2006
Springer
15 years 1 months ago
Learning a common language through an emergent interaction topology
We study the effects of various emergent topologies of interaction on the rate of language convergence in a population of communicating agents. The agents generate, parse, and lea...
Samarth Swarup, Kiran Lakkaraju, Les Gasser
ICCV
2007
IEEE
15 years 11 months ago
Learning 3-D Scene Structure from a Single Still Image
We consider the problem of estimating detailed 3-d structure from a single still image of an unstructured environment. Our goal is to create 3-d models which are both quantitative...
Ashutosh Saxena, Min Sun, Andrew Y. Ng