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» Temporal causal modeling with graphical granger methods
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TOG
2008
94views more  TOG 2008»
13 years 5 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...
SGP
2007
13 years 8 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
13 years 11 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
14 years 6 months 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
14 years 9 days 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