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» Classifying materials in the real world
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IJCAI
2001
13 years 8 months ago
Probabilistic Classification and Clustering in Relational Data
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
Benjamin Taskar, Eran Segal, Daphne Koller
KES
2006
Springer
13 years 7 months ago
The Performance of LVQ Based Automatic Relevance Determination Applied to Spontaneous Biosignals
The issue of Automatic Relevance Determination (ARD) has attracted attention over the last decade for the sake of efficiency and accuracy of classifiers, and also to extract knowle...
Martin Golz, David Sommer
PR
2008
154views more  PR 2008»
13 years 7 months ago
Data-driven decomposition for multi-class classification
This paper presents a new study on a method of designing a multi-class classifier: Data-driven Error Correcting Output Coding (DECOC). DECOC is based on the principle of Error Cor...
Jie Zhou, Hanchuan Peng, Ching Y. Suen
CGF
2004
151views more  CGF 2004»
13 years 7 months ago
A Physically-Based Model for Rendering Realistic Scratches
Individually visible scratches, also called isolated scratches, are very common in real world surfaces. Although their microgeometry is not visible, they are individually percepti...
Carles Bosch, Xavier Pueyo, Stéphane M&eacu...
IV
2008
IEEE
145views Visualization» more  IV 2008»
14 years 1 months ago
Beyond the Tyranny of the Pixel: Exploring the Physicality of Information Visualization
This paper consists of a review of contemporary that map and materialize abstract data as physical artifacts. With computing technology and the access of information influencing e...
Andrew Vande Moere