1413 search results - page 227 / 283 » A Theory for Memory-Based Learning |
162
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AIR
2004
15 years 6 months ago
2004
Real-world data is never perfect and can often suffer from corruptions (noise) that may impact interpretations of the data, models created from the data and decisions made based on...
188
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ML
2010
ACM
15 years 4 months ago
2010
ACM
Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
182
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CORR
2011
Springer
15 years 1 months ago
2011
Springer
Valiant’s (2007) model of evolvability models the evolutionary process of acquiring useful functionality as a restricted form of learning from random examples. Linear threshold ...
138
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CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
Component-based detection methods have demonstrated their promise by integrating a set of part-detectors to deal with large appearance variations of the target. However, an essent...
128
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ICCV
2003
IEEE
16 years 8 months ago
2003
IEEE
A requirement common to most dynamic vision applications is the ability to track objects in a sequence of frames. This problem has been extensively studied in the past few years, ...