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CVPR
2010
IEEE
15 years 2 months ago
Cost-Sensitive Subspace Learning for Face Recognition
Conventional subspace learning-based face recognition aims to attain low recognition errors and assumes same loss from all misclassifications. In many real-world face recognition...
Jiwen Lu, Tan Yap-Peng
ICASSP
2011
IEEE
14 years 7 months ago
Online Kernel SVM for real-time fMRI brain state prediction
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
TACAS
2009
Springer
101views Algorithms» more  TACAS 2009»
15 years 10 months ago
Parametric Trace Slicing and Monitoring
Analysis of execution traces plays a fundamental role in many program analysis approaches. Execution traces are frequently parametric, i.e., they contain events with parameter bind...
Feng Chen, Grigore Rosu
ISSTA
2010
ACM
15 years 7 months ago
Strict control dependence and its effect on dynamic information flow analyses
Program control dependence has substantial impact on applications such as dynamic information flow tracking and data lineage tracing (a technique tracking the set of inputs that ...
Tao Bao, Yunhui Zheng, Zhiqiang Lin, Xiangyu Zhang...
SEMWEB
2009
Springer
15 years 10 months ago
Functions over RDF Language Elements
Spreadsheet tools are often used in business and private scenarios in order to collect and store data, and to explore and analyze these data by executing functions and aggregation...
Bernhard Schandl