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» New interval methods for constrained global optimization
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126
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ICML
2004
IEEE
16 years 4 months ago
Large margin hierarchical classification
We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...
Ofer Dekel, Joseph Keshet, Yoram Singer
116
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CVPR
2010
IEEE
15 years 8 months ago
"Lattice Cut" - Constructing superpixels using layer constraints
Unsupervised over-segmentation of an image into superpixels is a common preprocessing step for image parsing algorithms. Superpixels are used as both regions of support for featur...
Alastair Moore, Simon Prince
IJKESDP
2010
60views more  IJKESDP 2010»
15 years 2 months ago
Portfolio selection problems with normal mixture distributions including fuzziness
— In this paper, several portfolio selection problems with normal mixture distributions including fuzziness are proposed. Until now, many researchers have proposed portfolio mode...
Takashi Hasuike, Hiroaki Ishii
144
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ISBI
2002
IEEE
16 years 4 months ago
Cardiac ultrasound motion detection by elastic registration exploiting temporal coherence
We propose a new global registration method for estimating the cardiac displacement field in 2D sequences of ultrasound images of the heart. The basic idea is to select a referenc...
Andrés Santos, Jan Kybic, Manuel Desco, Mar...
EAAI
2010
119views more  EAAI 2010»
15 years 2 months ago
A heuristic-based framework to solve a complex aircraft sizing problem
Aircraft sizing studies consist in determining the main characteristics of an aircraft starting from a set of requirements. These studies can be summarized as global constrained o...
Céline Badufle, Christophe Blondel, Thierry...