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![Optimal Approximations by Piecewise Smooth Functions and Associated Variational Problems - [ Mumford-Shah ]](https://www.sciweavers.org/files/imagecache/thumbnail/imagecache/mumphord_shah.jpg "Optimal Approximations by Piecewise Smooth Functions and Associated Variational Problems - [ Mumford-Shah ]")
"The purpose of this paper is to introduce and study the most basic properties of three new variational problems which are suggested by applications to computer vision. In com...
133
Voted
ICIP
2006
IEEE
16 years 4 months ago
2006
IEEE
We address the problem of segmenting multiple similar objects by optimizing a Chan-Vese-like [1] functional with respect to a mixture of level set functions. We solve the variatio...
114
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ICIP
2008
IEEE
15 years 9 months ago
2008
IEEE
This paper presents an algorithm designed to compute the perceived interest of objects in images. We measured likelihood functions via a psychophysical experiment in which subject...
117
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ACIVS
2007
Springer
15 years 8 months ago
2007
Springer
This paper presents a new method to both track and segment objects in videos. It includes predictions and observations inside an energy function that is minimized with graph cuts. ...
171
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EMNLP
2011
14 years 2 months ago
2011
We present an online learning algorithm for training parsers which allows for the inclusion of multiple objective functions. The primary example is the extension of a standard sup...