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» Clustering Documents with Active Learning Using Wikipedia
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ICDAR
2011
IEEE
12 years 7 months ago
Subgraph Spotting through Explicit Graph Embedding: An Application to Content Spotting in Graphic Document Images
—We present a method for spotting a subgraph in a graph repository. Subgraph spotting is a very interesting research problem for various application domains where the use of a re...
Muhammad Muzzamil Luqman, Jean-Yves Ramel, Josep L...
CVPR
2008
IEEE
14 years 9 months ago
Correspondence-free multi-camera activity analysis and scene modeling
We propose a novel approach for activity analysis in multiple synchronized but uncalibrated static camera views. We assume that the topology of camera views is unknown and quite a...
Xiaogang Wang, Kinh Tieu, W. Eric L. Grimson
SIGIR
2010
ACM
13 years 7 months ago
SED: supervised experimental design and its application to text classification
In recent years, active learning methods based on experimental design achieve state-of-the-art performance in text classification applications. Although these methods can exploit ...
Yi Zhen, Dit-Yan Yeung
JCDL
2006
ACM
161views Education» more  JCDL 2006»
14 years 1 months ago
Learning metadata from the evidence in an on-line citation matching scheme
Citation matching, or the automatic grouping of bibliographic references that refer to the same document, is a data management problem faced by automatic digital libraries for sci...
Isaac G. Councill, Huajing Li, Ziming Zhuang, Sand...
IR
2007
13 years 7 months ago
Regularizing query-based retrieval scores
In information retrieval, the cluster hypothesis states: closely related documents tend to be relevant to the same request. We exploit this hypothesis directly by adjusting queryb...
Fernando Diaz