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ICSE
2008
IEEE-ACM
14 years 9 months ago
FeatureMapper: mapping features to models
Variability modelling with feature models is one key technique for specifying the problem space of Software Product Lines (SPLs). To allow for the automatic derivation of a concre...
Florian Heidenreich, Jan Kopcsek, Christian Wende
FGR
2011
IEEE
255views Biometrics» more  FGR 2011»
13 years 24 days ago
Beyond simple features: A large-scale feature search approach to unconstrained face recognition
— Many modern computer vision algorithms are built atop of a set of low-level feature operators (such as SIFT [1], [2]; HOG [3], [4]; or LBP [5], [6]) that transform raw pixel va...
David D. Cox, Nicolas Pinto
ICCV
2003
IEEE
14 years 11 months ago
Conditional Feature Sensitivity: A Unifying View on Active Recognition and Feature Selection
The objective of active recognition is to iteratively collect the next "best" measurements (e.g., camera angles or viewpoints), to maximally reduce ambiguities in recogn...
Xiang Sean Zhou, Dorin Comaniciu, Arun Krishnan
ICDM
2006
IEEE
193views Data Mining» more  ICDM 2006»
14 years 3 months ago
Feature Subset Selection on Multivariate Time Series with Extremely Large Spatial Features
Several spatio-temporal data collected in many applications, such as fMRI data in medical applications, can be represented as a Multivariate Time Series (MTS) matrix with m rows (...
Hyunjin Yoon, Cyrus Shahabi
ICSM
2005
IEEE
14 years 2 months ago
Dynamic Feature Traces: Finding Features in Unfamiliar Code
This paper introduces an automated technique for feature location: helping developers map features to relevant source code. Like several other automated feature location technique...
Andrew David Eisenberg, Kris De Volder