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ICDM
2006
IEEE
100views Data Mining» more  ICDM 2006»
15 years 3 months ago
Meta Clustering
Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...
Rich Caruana, Mohamed Farid Elhawary, Nam Nguyen, ...
IWC
2007
120views more  IWC 2007»
14 years 9 months ago
Visualizing set concordance with permutation matrices and fan diagrams
Scientific problem solving often involves concordance (or discordance) analysis among the result sets from different approaches. For example, different scientific analysis met...
Bo Hyoung Kim, Bongshin Lee, Jinwook Seo
ECCV
2004
Springer
15 years 3 months ago
Statistical Learning of Evaluation Function for ASM/AAM Image Alignment
Alignment between the input and target objects has great impact on the performance of image analysis and recognition system, such as those for medical image and face recognition. A...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
NIPS
1998
14 years 11 months ago
Semi-Supervised Support Vector Machines
We introduce a semi-supervised support vector machine (S3 VM) method. Given a training set of labeled data and a working set of unlabeled data, S3 VM constructs a support vector m...
Kristin P. Bennett, Ayhan Demiriz
SIGMOD
2009
ACM
269views Database» more  SIGMOD 2009»
15 years 10 months ago
Efficient approximate entity extraction with edit distance constraints
Named entity recognition aims at extracting named entities from unstructured text. A recent trend of named entity recognition is finding approximate matches in the text with respe...
Wei Wang 0011, Chuan Xiao, Xuemin Lin, Chengqi Zha...