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KDD
1997
ACM
169views Data Mining» more  KDD 1997»
15 years 1 months ago
Learning to Extract Text-Based Information from the World Wide Web
Thereis a wealthof informationto be minedfromnarrative text on the WorldWideWeb.Unfortunately, standard natural language processing (NLP)extraction techniques expect full, grammat...
Stephen Soderland
CVPR
2008
IEEE
15 years 11 months ago
Hybrid body representation for integrated pose recognition, localization and segmentation
We propose a hybrid body representation that represents each typical pose by both template-like view information and part-based structural information. Specifically, each body par...
Cheng Chen, Guoliang Fan
ICML
2009
IEEE
15 years 10 months ago
Prototype vector machine for large scale semi-supervised learning
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
Kai Zhang, James T. Kwok, Bahram Parvin
ISMIR
2005
Springer
150views Music» more  ISMIR 2005»
15 years 3 months ago
A Bootstrap Method for Training an Accurate Audio Segmenter
Supervised learning can be used to create good systems for note segmentation in audio data. However, this requires a large set of labeled training examples, and handlabeling is qu...
Ning Hu, Roger B. Dannenberg
EMNLP
2007
14 years 11 months ago
Bootstrapping Information Extraction from Field Books
We present two machine learning approaches to information extraction from semi-structured documents that can be used if no annotated training data are available, but there does ex...
Sander Canisius, Caroline Sporleder