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ICIP
2010
IEEE
13 years 7 months ago
Semi-supervised regression with temporal image sequences
We consider a semi-supervised regression setting where we have temporal sequences of partially labeled data, under the assumption that the labels should vary slowly along a sequen...
Ling Xie, Miguel Á. Carreira-Perpiñ&...
FOCS
1995
IEEE
14 years 27 days ago
Reconstructing Strings from Substrings in Rounds
We establish a variety of combinatorial bounds on the tradeo s inherent in reconstructing strings using few rounds of a given number of substring queries per round. These results ...
Dimitris Margaritis, Steven Skiena
AVSS
2005
IEEE
14 years 3 months ago
Denoising image sequences does not require motion estimation
State of the art movie restoration methods either estimate motion and filter out the trajectories, or compensate the motion by an optical flow estimate and then filter out the ...
Antoni Buades, Bartomeu Coll, Jean-Michel Morel
ECCV
2004
Springer
14 years 2 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...
ICASSP
2010
IEEE
13 years 9 months ago
Partial sequence matching using an Unbounded Dynamic Time Warping algorithm
Before the advent of Hidden Markov Models(HMM)-based speech recognition, many speech applications were built using pattern matching algorithms like the Dynamic Time Warping (DTW) ...
Xavier Anguera, Robert Macrae, Nuria Oliver