3467 search results - page 61 / 694 » Streamwise Feature Selection |
106
Voted
ALGORITHMICA
2006
15 years 24 days ago
2006
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
103
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TIP
2011
14 years 7 months ago
2011
—This paper introduces the new color face recognition (FR) method that makes effective use of boosting learning as color-component feature selection framework. The proposed boost...
97
Voted
WEBI
2009
Springer
15 years 7 months ago
2009
Springer
Filtering feature selection method (filtering method, for short) is a well-known feature selection strategy in pattern recognition and data mining. Filtering method outperforms ot...
89
Voted
ICIP
2002
IEEE
16 years 2 months ago
2002
IEEE
We recently proposed a method to find cluster structure in home videos based on statistical models of visual and temporal features of video segments and sequential binary Bayesian...
JIPS
2006
15 years 21 days ago
2006
: This paper presents a feature selection technique based on distributional differences for efficient machine learning. Initial training data consists of data including many featur...