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» Supervised Feature Extraction Using Hilbert-Schmidt Norms
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ACL
2012
13 years 2 months ago
Temporally Anchored Relation Extraction
Although much work on relation extraction has aimed at obtaining static facts, many of the target relations are actually fluents, as their validity is naturally anchored to a cer...
Guillermo Garrido, Anselmo Peñas, Bernardo ...

Publication
400views
14 years 6 months ago
Partitioning Histopathological Images: An Integrated Framework for Supervised Color-Texture Segmentation and Cell Splitting
For quantitative analysis of histopathological images, such as the lymphoma grading systems, quantification of features is usually carried out on single cells before categorizing...
Hui Kong, Metin Gurcan, and Kamel Belkacem-Boussai...
CIKM
2011
Springer
13 years 11 months ago
Towards feature selection in network
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
Quanquan Gu, Jiawei Han
EMNLP
2009
14 years 9 months ago
Supervised Learning of a Probabilistic Lexicon of Verb Semantic Classes
The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...
Yusuke Miyao, Jun-ichi Tsujii
80
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CSIE
2009
IEEE
15 years 6 months ago
Supervised Control of a Flying Performing Robot Using Its Intrinsic Sound
We present the current results of our ongoing research in achieving efficient control of a flying robot for a wide variety of possible applications. A lightweight small indoor h...
Benjamin N. Passow, Sophy Smith, Mario A. Gó...