Explicit modeling

With the explicit modeling, designers quickly and easily create 3D CAD designs, which they then modify through direct, on-the-fly interactions with… (More)
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Papers overview

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Highly Cited
2013
Highly Cited
2013
We introduce an approach for learning human actions as interactions between persons and objects in realistic videos. Previous… (More)
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2009
2009
Despite the pivotal significance of transformations for model-driven approaches, there have not been any attempts to explicitly… (More)
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Highly Cited
2007
Highly Cited
2007
In this paper we consider modeling data lying on multiple continuous manifolds. In particular, we model the shape manifold of a… (More)
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Highly Cited
2006
Highly Cited
2006
Relational learning analyzes the probabilistic constraints between the attributes of entities and relationships. We extend the… (More)
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Highly Cited
2006
Highly Cited
2006
Traditional statistical models for speech recognition have mostly been based on a Bayesian framework using generative models such… (More)
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Highly Cited
2003
Highly Cited
2003
The performance of adaptive beamforming methods is known to degrade severely in the presence of even small mismatches between the… (More)
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Highly Cited
2002
Highly Cited
2002
We discuss the development of predictive choice models that go beyond the random utility model in its narrowest formulation. Such… (More)
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2000
2000
An important challenge in global-change research is to simulate short-term transient changes in climate, disturbance regime, and… (More)
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Review
1991
Review
1991
Falkenhainer, B. and K.D . Forbus, Compositional modeling: finding the right model for the job, Artificial Intelligence 51 (1991… (More)
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1984
1984
A few of the well established methods of adaptive signal processing are modified and extended for application to adaptive control… (More)
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