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ECCV
2008
Springer
16 years 6 months ago
Continuous Energy Minimization Via Repeated Binary Fusion
Abstract. Variational problems, which are commonly used to solve lowlevel vision tasks, are typically minimized via a local, iterative optimization strategy, e.g. gradient descent....
Werner Trobin, Thomas Pock, Daniel Cremers, Horst ...
ECCV
2002
Springer
16 years 6 months ago
Principal Component Analysis over Continuous Subspaces and Intersection of Half-Spaces
Abstract. Principal Component Analysis (PCA) is one of the most popular techniques for dimensionality reduction of multivariate data points with application areas covering many bra...
Anat Levin, Amnon Shashua
AAMAS
2007
Springer
15 years 10 months ago
Continuous-State Reinforcement Learning with Fuzzy Approximation
Abstract. Reinforcement learning (RL) is a widely used learning paradigm for adaptive agents. There exist several convergent and consistent RL algorithms which have been intensivel...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...
MM
2005
ACM
154views Multimedia» more  MM 2005»
15 years 9 months ago
Determining structure in continuously recorded videos
In this paper, we present a scene detection framework on continuously recorded videos. Conventional temporal scene segmentation methods work for the videos composed of discrete sh...
Yun Zhai, Mubarak Shah
GECCO
2004
Springer
15 years 9 months ago
Real-Coded Bayesian Optimization Algorithm: Bringing the Strength of BOA into the Continuous World
This paper describes a continuous estimation of distribution algorithm (EDA) to solve decomposable, real-valued optimization problems quickly, accurately, and reliably. This is the...
Chang Wook Ahn, Rudrapatna S. Ramakrishna, David E...