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» The Localization Hypothesis and Machines
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DMIN
2009
132views Data Mining» more  DMIN 2009»
13 years 7 months ago
Understanding Support Vector Machine Classifications via a Recommender System-Like Approach
Support vector machines are a valuable tool for making classifications, but their black-box nature means that they lack the natural explanatory value that many other classifiers po...
David Barbella, Sami Benzaid, Janara M. Christense...
CVPR
2012
IEEE
12 years 12 days ago
The Shape Boltzmann Machine: A strong model of object shape
A good model of object shape is essential in applications such as segmentation, object detection, inpainting and graphics. For example, when performing segmentation, local constra...
S. M. Ali Eslami, Nicolas Heess, John M. Winn
ICML
2000
IEEE
14 years 10 months ago
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
Mark A. Hall
TASE
2008
IEEE
13 years 10 months ago
Automated Planning and Optimization of Lumber Production Using Machine Vision and Computed Tomography
An automated system for planning and optimization of lumber production using Machine Vision and Computed Tomography (CT) is proposed. Cross-sectional CT images of hardwood logs are...
Suchendra M. Bhandarkar, Xingzhi Luo, Richard F. D...
CLUSTER
2002
IEEE
13 years 9 months ago
CEJVM: "Cluster Enabled Java Virtual Machine"
CEJVM is a cluster enabled Java Virtual Machine, which executes in a distributed fashion among collaborating nodes of a dedicated cluster. It extends Java`s multithreading mechani...
Muhammad Umar Janjua, Mehboob Yasin, Ch. Falak She...