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» Applying Support Vector Machines to Imbalanced Datasets
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JMLR
2010
123views more  JMLR 2010»
14 years 10 months ago
Maximum Relative Margin and Data-Dependent Regularization
Leading classification methods such as support vector machines (SVMs) and their counterparts achieve strong generalization performance by maximizing the margin of separation betw...
Pannagadatta K. Shivaswamy, Tony Jebara
PCM
2010
Springer
223views Multimedia» more  PCM 2010»
14 years 10 months ago
Discovering Motion Patterns for Human Action Recognition
In this paper, we propose a novel Spatiotemporal Interest Point (MC-STIP) detector based on the coherent motion pattern around each voxel in videos. Our detector defines the local...
Ziming Zhang, Jiawei Huang, Ze-Nian Li
CIKM
2008
Springer
15 years 1 months ago
Identifying table boundaries in digital documents via sparse line detection
Most prior work on information extraction has focused on extracting information from text in digital documents. However, often, the most important information being reported in an...
Ying Liu, Prasenjit Mitra, C. Lee Giles
MMM
2007
Springer
176views Multimedia» more  MMM 2007»
15 years 6 months ago
An Efficient Automatic Video Shot Size Annotation Scheme
Abstract. This paper presents an efficient learning scheme for automatic annotation of video shot size. Instead of existing methods that applied in sports videos using domain knowl...
Meng Wang, Xian-Sheng Hua, Yan Song, Wei Lai, Li-R...
MMM
2006
Springer
133views Multimedia» more  MMM 2006»
15 years 5 months ago
A SVM-based personal recommendation system for TV programs
This paper presents a SVM-based prediction approach for constructing personal recommendation system for TV programs. We have applied Support Vector Machine (SVM) to personal predi...
Jin An Xu, Kenji Araki