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ICMLA
2007
13 years 11 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»
13 years 9 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
14 years 3 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
13 years 11 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
14 years 12 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, ...