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» Clustering Rules Using Empirical Similarity of Support Sets
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PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
15 years 6 months ago
Sparse Kernel SVMs via Cutting-Plane Training
We explore an algorithm for training SVMs with Kernels that can represent the learned rule using arbitrary basis vectors, not just the support vectors (SVs) from the training set. ...
Thorsten Joachims, Chun-Nam John Yu
SIGMETRICS
1998
ACM
15 years 4 months ago
Scheduling Policies to Support Distributed 3D Multimedia Applications
We consider the problem of scheduling tasks with unpredictable service times on distinct processing nodes so as to meet a real-time deadline, given that all communication among no...
Thu D. Nguyen, John Zahorjan
SIGIR
2005
ACM
15 years 5 months ago
Scalable collaborative filtering using cluster-based smoothing
Memory-based approaches for collaborative filtering identify the similarity between two users by comparing their ratings on a set of items. In the past, the memory-based approache...
Gui-Rong Xue, Chenxi Lin, Qiang Yang, Wensi Xi, Hu...
CVPR
2006
IEEE
15 years 1 months ago
Locally Linear Models on Face Appearance Manifolds with Application to Dual-Subspace Based Classification
Recently, there has been a flurry of research on face recognition based on multiple images or shots from either a video sequence or an image set. This paper is also such an attemp...
Wei Fan, Dit-Yan Yeung
CAIP
2007
Springer
134views Image Analysis» more  CAIP 2007»
15 years 3 months ago
An Efficient Method for Filtering Image-Based Spam E-mail
Spam e-mail with advertisement text embedded in images presents a great challenge to anti-spam filters. In this paper, we present a fast method to detect image-based spam e-mail. U...
Ngo Phuong Nhung, Tu Minh Phuong