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RCIS
2010
14 years 9 months ago
A Tree-based Approach for Efficiently Mining Approximate Frequent Itemsets
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...
Jia-Ling Koh, Yi-Lang Tu
KDD
2012
ACM
197views Data Mining» more  KDD 2012»
13 years 1 months ago
On the separability of structural classes of communities
Three major factors govern the intricacies of community extraction in networks: (1) the application domain includes a wide variety of networks of fundamentally different natures,...
Bruno D. Abrahao, Sucheta Soundarajan, John E. Hop...
CVPR
2009
IEEE
16 years 5 months ago
A Collaborative Benchmark for Region of Interest Detection Algorithms
This paper presents a collaborative benchmark for region of interest (ROI) detection in images. ROI detection has many useful applications and many algorithms have been proposed...
Tz-Huan Huang, Kai-Yin Cheng and Yung-Yu Chuang
CVPR
2008
IEEE
16 years 1 months ago
Manifold learning using robust Graph Laplacian for interactive image search
Interactive image search or relevance feedback is the process which helps a user refining his query and finding difficult target categories. This consists in partially labeling a ...
Hichem Sahbi, Patrick Etyngier, Jean-Yves Audibert...
MICCAI
2008
Springer
16 years 14 days ago
Cortical Surface Thickness as a Classifier: Boosting for Autism Classification
We study the problem of classifying an autistic group from controls using structural image data alone, a task that requires a clinical interview with a psychologist. Because of the...
Vikas Singh, Lopamudra Mukherjee, Moo K. Chung