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CVPR
2007
IEEE
16 years 1 months ago
What makes a good model of natural images?
Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...
Yair Weiss, William T. Freeman
ACL
2012
13 years 2 months ago
A Computational Approach to the Automation of Creative Naming
In this paper, we propose a computational approach to generate neologisms consisting of homophonic puns and metaphors based on the category of the service to be named and the prop...
Gözde Özbal, Carlo Strapparava
ICIA
2007
15 years 2 months ago
Modeling Human-Agent Interaction with Active Ontologies
As computer systems continue to grow in power and access more networked content and services, we believe there will be an increasing need to provide more user-centric systems that...
Didier Guzzoni, Charles Baur, Adam Cheyer
ICML
2010
IEEE
15 years 29 days ago
Climbing the Tower of Babel: Unsupervised Multilingual Learning
For centuries, scholars have explored the deep links among human languages. In this paper, we present a class of probabilistic models that use these links as a form of naturally o...
Benjamin Snyder, Regina Barzilay
MODELS
2007
Springer
15 years 6 months ago
Rigorously Defining and Analyzing Medical Processes: An Experience Report
Abstract. This paper describes our experiences in defining the processes associated with preparing and administrating chemotherapy and then using those process definitions as the b...
Stefan Christov, Bin Chen, George S. Avrunin, Lori...