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» Temporal Constraint Networks
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ICMLA
2007
15 years 4 months ago
Uncertainty optimization for robust dynamic optical flow estimation
We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...
Volker Willert, Marc Toussaint, Julian Eggert, Edg...
NN
1998
Springer
108views Neural Networks» more  NN 1998»
15 years 2 months ago
How embedded memory in recurrent neural network architectures helps learning long-term temporal dependencies
Learning long-term temporal dependencies with recurrent neural networks can be a difficult problem. It has recently been shown that a class of recurrent neural networks called NA...
Tsungnan Lin, Bill G. Horne, C. Lee Giles
IPCCC
2005
IEEE
15 years 8 months ago
Adapting spatial constraints of composite multimedia objects to achieve universal access
A composite multimedia object (cmo) is comprised of different media components such as text, video, audio and image, with a variety of constraints that must be adhered to. The con...
Ahmed Gomaa, Nabil R. Adam, Vijayalakshmi Atluri
DAGSTUHL
2008
15 years 4 months ago
Constraint Satisfaction Problems with Infinite Templates
Allowing templates with infinite domains greatly expands the range of problems that can be formulated as a non-uniform constraint satisfaction problem. It turns out that many CSPs ...
Manuel Bodirsky
ECCV
2004
Springer
16 years 4 months ago
Estimating Intrinsic Images from Image Sequences with Biased Illumination
We present a method for estimating intrinsic images from a fixed-viewpoint image sequence captured under changing illumination directions. Previous work on this problem reduces the...
Yasuyuki Matsushita, Stephen Lin, Sing Bing Kang, ...