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ACCV
1995
Springer
15 years 10 months ago
An Integrated Model for Evaluating the Amount of Data Required for Reliable Recognition
—Many recognition procedures rely on the consistency of a subset of data features with a hypothesis as the sufficient evidence to the presence of the corresponding object. We ana...
Michael Lindenbaum
NIPS
2004
15 years 8 months ago
A Three Tiered Approach for Articulated Object Action Modeling and Recognition
Visual action recognition is an important problem in computer vision. In this paper, we propose a new method to probabilistically model and recognize actions of articulated object...
Le Lu, Gregory D. Hager, Laurent Younes
NIPS
1998
15 years 8 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
ANOR
2010
110views more  ANOR 2010»
15 years 6 months ago
Re-solving stochastic programming models for airline revenue management
We study some mathematical programming formulations for the origin-destination model in airline revenue management. In particular, we focus on the traditional probabilistic model ...
Lijian Chen, Tito Homem-de-Mello
EUROGRAPHICS
2010
Eurographics
16 years 3 months ago
Synthesis of Responsive Motion Using a Dynamic Model
Synthesizing the movements of a responsive virtual character in the event of unexpected perturbations has proven a difficult challenge. To solve this problem, we devise a fully a...
Yuting Ye and C. Karen Liu