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» Extremal Optimization: Methods derived from Co-Evolution
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DAGM
2004
Springer
14 years 2 months ago
Predictive Discretization During Model Selection
We present an approach to discretizing multivariate continuous data while learning the structure of a graphical model. We derive the joint scoring function from the principle of p...
Harald Steck, Tommi Jaakkola
IMR
2004
Springer
14 years 2 months ago
PDE-Based Gradient Limiting for Mesh Size Functions
We propose a new method for limiting the gradients in a mesh size function by solving a non-linear partial differential equation on the background mesh. Our gradient limiting Ham...
Per-Olof Persson
CVPR
1999
IEEE
14 years 1 months ago
Detecting and Tracking Moving Objects for Video Surveillance
We address the problem of detection and tracking of moving objects in a video stream obtained from a moving airborne platform. The proposed method relies on a graph representation...
Isaac Cohen, Gérard G. Medioni
AAAI
2008
13 years 11 months ago
Instance-level Semisupervised Multiple Instance Learning
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...
Yangqing Jia, Changshui Zhang
COLING
2008
13 years 10 months ago
Bayesian Semi-Supervised Chinese Word Segmentation for Statistical Machine Translation
Words in Chinese text are not naturally separated by delimiters, which poses a challenge to standard machine translation (MT) systems. In MT, the widely used approach is to apply ...
Jia Xu, Jianfeng Gao, Kristina Toutanova, Hermann ...