135 search results - page 9 / 27 » Discriminative Sample Selection for Statistical Machine Tran... |
RAS
2002
14 years 11 months ago
2002
This paper proposes a statistical, non-feature based, attention mechanism for a mobile robot, termed Information Sampling. The selected data may be a single pixel or a number scat...
PR
2006
14 years 11 months ago
2006
In many pattern recognition applications, high-dimensional feature vectors impose a high computational cost as well as the risk of "overfitting". Feature Selection addre...
ICMCS
2005
IEEE
15 years 5 months ago
2005
IEEE
In this work we strive to find an optimal set of acoustic features for the discrimination of speech, monophonic singing, and polyphonic music to robustly segment acoustic media st...
ICML
1994
IEEE
15 years 3 months ago
1994
IEEE
With the goal of reducing computational costs without sacrificing accuracy, we describe two algorithms to find sets of prototypes for nearest neighbor classification. Here, the te...
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ICASSP
2010
IEEE
14 years 12 months ago
2010
IEEE
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...