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Article
MICAR: nonlinear association rule mining based on maximal information coefficient
Association rule mining (ARM) is an important research issue in data mining and knowledge discovery. Existing ARM methods cannot discover nonlinear association rules, despite nonlinearity being common and sign...
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Article
Similarity measures for time series data classification using grid representation and matrix distance
Two similarity measures are proposed that can successfully capture both the numerical and point distribution characteristics of time series. More specifically, a novel grid representation for time series is fi...
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Chapter and Conference Paper
Online User Modeling for Interactive Streaming Image Classification
Regarding of the explosive growth of personal images, this paper proposes an online user modeling method for the categorization of the streaming images. In the proposed framework, user interaction is brought i...
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Chapter and Conference Paper
Unsupervised Multiple Object Cosegmentation via Ensemble MIML Learning
Multiple foreground cosegmentation (MFC) has being a new research topic recently in computer vision. This paper proposes a framework of unsupervised multiple object cosegmentation, which is composed of three c...
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Chapter and Conference Paper
Progressive Image Segmentation Using Online Learning
This article proposed a progressive image segmentation, which allow users to segment images according to their preferences without any boring pre-labeling or training stages. We use an online learning method t...