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» Temporal causal modeling with graphical granger methods
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TOG
2008
94views more  TOG 2008»
14 years 11 months ago
Wavelet turbulence for fluid simulation
We present a novel wavelet method for the simulation of fluids at high spatial resolution. The algorithm enables large- and smallscale detail to be edited separately, allowing hig...
Theodore Kim, Nils Thürey, Doug L. James, Mar...
91
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SGP
2007
15 years 2 months ago
Dynamic geometry registration
We propose an algorithm that performs registration of large sets of unstructured point clouds of moving and deforming objects without computing correspondences. Given as input a s...
Niloy J. Mitra, Simon Flöry, Maks Ovsjanikov,...
ECCV
2004
Springer
15 years 5 months ago
A New Robust Technique for Stabilizing Brightness Fluctuations in Image Sequences
Abstract. Temporal random variation of luminance in images can manifest in film and video due to a wide variety of sources. Typical in archived films, it also affects scenes rec...
François Pitié, Rozenn Dahyot, Franc...
ICML
2007
IEEE
16 years 12 days ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
ICIDS
2009
Springer
15 years 6 months ago
Controlling Narrative Generation with Planning Trajectories: The Role of Constraints
Abstract. AI planning has featured in a number of Interactive Storytelling prototypes: since narratives can be naturally modelled as a sequence of actions it has been possible to e...
Julie Porteous, Marc Cavazza