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» Introduction to Pattern Recognition
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132
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MCS
2010
Springer
15 years 5 months ago
Tomographic Considerations in Ensemble Bias/Variance Decomposition
Abstract. Classifier decision fusion has been shown to act in a manner analogous to the back-projection of Radon transformations when individual classifier feature sets are non o...
David Windridge
125
Voted
CIARP
2008
Springer
15 years 5 months ago
Measuring the Related Properties of Linearity and Elongation of Point Sets
The concept of elongation is generally well understood. However, there is no clear, precise, mathematical definition of elongation in any dictionary we could find. We propose that ...
Milos Stojmenovic, Amiya Nayak
139
Voted
AIPR
2006
IEEE
15 years 5 months ago
Semi-automated 3-D Building Extraction from Stereo Imagery
The production of geospatial information from overhead imagery is generally a labor-intensive process. Analysts must accurately delineate and extract important features, such as b...
Sung Chun Lee, Keith E. Price, Ramakant Nevatia, T...
133
Voted
CIARP
2006
Springer
15 years 5 months ago
Robustness Analysis of the Neural Gas Learning Algorithm
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
Carolina Saavedra, Sebastián Moreno, Rodrig...
124
Voted
KDD
2010
ACM
287views Data Mining» more  KDD 2010»
15 years 5 months ago
Designing efficient cascaded classifiers: tradeoff between accuracy and cost
We propose a method to train a cascade of classifiers by simultaneously optimizing all its stages. The approach relies on the idea of optimizing soft cascades. In particular, inst...
Vikas C. Raykar, Balaji Krishnapuram, Shipeng Yu