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ISNN
2011
Springer
14 years 1 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
AMAI
2011
Springer
13 years 10 months ago
Multi-armed bandits with episode context
A multi-armed bandit episode consists of n trials, each allowing selection of one of K arms, resulting in payoff from a distribution over [0, 1] associated with that arm. We assum...
Christopher D. Rosin
ICDAR
2011
IEEE
13 years 10 months ago
A New Fourier-Moments Based Video Word and Character Extraction Method for Recognition
— This paper presents a new method based on Fourier and moments features to extract words and characters from a video text line in any direction for recognition. Unlike existing ...
Deepak Rajendran, Palaiahnakote Shivakumara, Bolan...
CVPR
2004
IEEE
16 years 22 days ago
Learning a Restricted Bayesian Network for Object Detection
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
Henry Schneiderman
WWW
2009
ACM
15 years 11 months ago
Seller's credibility in electronic markets: a complex network based approach
In the last decade, there has been an explosion of online commercial activity enabled by the World Wide Web. An electronic marketplace (e-market) provides an online method to perf...
Adriano M. Pereira, Arlei Silva, Wagner Meira Jr.,...
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