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» Adaptive figure-ground classification
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EWCBR
2006
Springer
13 years 11 months ago
Rough Set Feature Selection Algorithms for Textual Case-Based Classification
Feature selection algorithms can reduce the high dimensionality of textual cases and increase case-based task performance. However, conventional algorithms (e.g., information gain)...
Kalyan Moy Gupta, David W. Aha, Philip Moore
DICTA
2003
13 years 9 months ago
Unsupervised Segmentation of Moving MPEG Blocks Based on Classification of Temporal Information
Most codecs such as MPEG-1,2 are based on processing pixels in predetermined tiles of square blocks. The processing of each block is independent of the object-based contents that m...
Ofer Miller, Amir Averbuch, Yosi Keller
CORR
2000
Springer
84views Education» more  CORR 2000»
13 years 7 months ago
Robust Classification for Imprecise Environments
In real-world environments it usually is difficult to specify target operating conditions precisely, for example, target misclassification costs. This uncertainty makes building ro...
Foster J. Provost, Tom Fawcett
IDEAL
2009
Springer
13 years 5 months ago
Optimizing Data Transformations for Classification Tasks
Many classification algorithms use the concept of distance or similarity between patterns. Previous work has shown that it is advantageous to optimize general Euclidean distances (...
José María Valls, Ricardo Aler
TSP
2010
13 years 2 months ago
Learning graphical models for hypothesis testing and classification
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
Vincent Y. F. Tan, Sujay Sanghavi, John W. Fisher ...