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» Relation Extraction Using Support Vector Machine
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FATES
2006
Springer
15 years 6 months ago
Goldilocks: Efficiently Computing the Happens-Before Relation Using Locksets
We present a new lockset-based algorithm, Goldilocks, for precisely computing the happens-before relation and thereby detecting data-races at runtime. Dynamic race detection algori...
Tayfun Elmas, Shaz Qadeer, Serdar Tasiran
108
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Support vector regression fusion scheme in phone duration modeling
A fusion scheme of phone duration models (PDMs) is presented in this work. Specifically, a support vector regression (SVR)-fusion model is fed with the predictions of a group of i...
Alexandros Lazaridis, Iosif Mporas, Todor Ganchev,...
121
Voted
MICCAI
2005
Springer
16 years 3 months ago
Support Vector Clustering for Brain Activation Detection
In this paper, we propose a new approach to detect activated time series in functional MRI using support vector clustering (SVC). We extract Fourier coefficients as the features of...
Defeng Wang, Lin Shi, Daniel S. Yeung, Pheng-Ann H...
139
Voted
MLDM
2005
Springer
15 years 8 months ago
An Automatic Face Recognition System in the Near Infrared Spectrum
Face recognition is a challenging visual classification task, especially when the lighting conditions can not be controlled. In this paper, we present an automatic face recognitio...
Shuyan Zhao, Rolf-Rainer Grigat
154
Voted
AAAI
2012
13 years 5 months ago
Ontological Smoothing for Relation Extraction with Minimal Supervision
Relation extraction, the process of converting natural language text into structured knowledge, is increasingly important. Most successful techniques use supervised machine learni...
Congle Zhang, Raphael Hoffmann, Daniel S. Weld