4930 search results - page 60 / 986 » Learning minimal abstractions |
113
Voted
BIOCOMP
2009
15 years 1 months ago
2009
Abstract-- Stating protein design as an energy minimization in the space of amino acid sequences and rotamer combinations is usual. In the current paper an evolutionary algorithm b...
131
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MP
2011
14 years 7 months ago
2011
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in machine learning, control theory, and discrete geometry. This c...
102
Voted
CVPR
2009
IEEE
15 years 7 months ago
2009
IEEE
Landmark labeling of training images is essential for many learning tasks in computer vision, such as object detection, tracking, and alignment. Image labeling is typically conduc...
109
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JMLR
2010
14 years 11 months ago
2010
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
MICCAI
2003
Springer
16 years 1 months ago
2003
Springer
Abstract. In this paper we present a new algorithm for 3D medical image segmentation. The algorithm is fast, relatively simple to implement, and semi-automatic. It is based on mini...