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» Convex Programming Methods for Global Optimization
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DLS
2010
141views Languages» more  DLS 2010»
13 years 5 months ago
Optimizing dynamic dispatch with fine-grained state tracking
Dynamic mixin is a construct available in Ruby and other dynamic languages. It can be used as a base to implement a range of programming paradigms, such as dynamic aspectoriented ...
Salikh Zakirov, Shigeru Chiba, Etsuya Shibayama
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
14 years 1 months ago
An extended mutation concept for the local selection based differential evolution algorithm
A new mutation concept is proposed to generalize local selection based Differential Evolution algorithm to work in general multimodal problems. Three variations of the proposed me...
Jani Rönkkönen, Jouni Lampinen
SPEECH
2010
154views more  SPEECH 2010»
13 years 2 months ago
Long story short - Global unsupervised models for keyphrase based meeting summarization
act 11 We analyze and compare two different methods for unsupervised extractive spontaneous speech summarization in the meeting 12 domain. Based on utterance comparison, we introdu...
Korbinian Riedhammer, Benoît Favre, Dilek Ha...
IJCNN
2006
IEEE
14 years 1 months ago
Model Selection via Bilevel Optimization
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Ku...
IPMI
2007
Springer
14 years 8 months ago
Inter and Intra-modal Deformable Registration: Continuous Deformations Meet Efficient Optimal Linear Programming
In this paper we propose a novel non-rigid volume registration based on discrete labeling and linear programming. The proposed framework reformulates registration as a minimal path...
Ben Glocker, Nikos Komodakis, Nikos Paragios, Geor...