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» Data Clustering with Partial Supervision
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ICIP
2001
IEEE
14 years 11 months ago
Image data mining from financial documents based on wavelet features
In this paper, we present a framework for clustering and classifying cheque images according to their payee-line content. The features used in the clustering and classificationpro...
Ossama El Badawy, Mahmoud R. El-Sakka, Khaled Hass...
ICDM
2010
IEEE
197views Data Mining» more  ICDM 2010»
13 years 7 months ago
D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-defined Classification
: D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-Defined Classification Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi HP Labo...
Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yu...
CVPR
2010
IEEE
14 years 6 months ago
Naming People from Dialog: Temporal Grouping and Weak Supervision
We address the character identification problem in movies and television videos: assigning names to faces on the screen. Most prior work on person recognition in video assumes s...
Timothee Cour, Benjamin Sapp, Akash Nagle, Ben Tas...
GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
14 years 1 months ago
On semi-supervised clustering via multiobjective optimization
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
Julia Handl, Joshua D. Knowles
ICCV
2011
IEEE
12 years 10 months ago
iGroup : Weakly supervised image and video grouping
We present a generic, efficient and iterative algorithm for interactively clustering classes of images and videos. The approach moves away from the use of large hand labelled tra...
Andrew Gilbert, Richard Bowden