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» Pixel Approximation Errors in Common Watershed Algorithms
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DICTA
2009
13 years 8 months ago
Improved Simultaneous Computation of Motion Detection and Optical Flow for Object Tracking
Abstract--Object tracking systems require accurate segmentation of the objects from the background for effective tracking. Motion segmentation or optical flow can be used to segmen...
Simon Denman, Clinton Fookes, Sridha Sridharan
PG
2007
IEEE
14 years 1 months ago
Statistical Hypothesis Testing for Assessing Monte Carlo Estimators: Applications to Image Synthesis
Image synthesis algorithms are commonly compared on the basis of running times and/or perceived quality of the generated images. In the case of Monte Carlo techniques, assessment ...
Kartic Subr, James Arvo
NIPS
2001
13 years 8 months ago
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
Evan Greensmith, Peter L. Bartlett, Jonathan Baxte...
TCBB
2008
126views more  TCBB 2008»
13 years 7 months ago
Combinatorial Approaches for Mass Spectra Recalibration
Mass spectrometry has become one of the most popular analysis techniques in Proteomics and Systems Biology. With the creation of larger data sets, the automated recalibration of ma...
Sebastian Böcker, Veli Mäkinen
COLT
2010
Springer
13 years 5 months ago
Efficient Classification for Metric Data
Recent advances in large-margin classification of data residing in general metric spaces (rather than Hilbert spaces) enable classification under various natural metrics, such as ...
Lee-Ad Gottlieb, Leonid Kontorovich, Robert Krauth...