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ICDM
2010
IEEE
128views Data Mining» more  ICDM 2010»
13 years 5 months ago
User-Based Active Learning
Active learning has been proven a reliable strategy to reduce manual efforts in training data labeling. Such strategies incorporate the user as oracle: the classifier selects the m...
Christin Seifert, Michael Granitzer
TIP
2008
185views more  TIP 2008»
13 years 7 months ago
Active Learning Methods for Interactive Image Retrieval
Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensio...
Philippe Henri Gosselin, Matthieu Cord
ICIP
2004
IEEE
14 years 9 months ago
Multi-label SVM active learning for image classification
Image classification is an important task in computer vision. However, how to assign suitable labels to images is a subjective matter, especially when some images can be categoriz...
Xuchun Li, Lei Wang, Eric Sung
ICINCO
2004
165views Robotics» more  ICINCO 2004»
13 years 9 months ago
Active Sensing Strategies for Robotic Platforms, with an Application in Vision-Based Gripping
: We present a vision-based robotic system which uses a combination of several active sensing strategies to grip a free-standing small target object with an initially unknown posit...
Benjamin Deutsch, Frank Deinzer, Matthias Zobel, J...
IJKL
2010
105views more  IJKL 2010»
13 years 2 months ago
Lurking: a challenge or a fruitful strategy? A comparison between lurkers and active participants in an online corporate communi
: For todays organisations to obtain competitive advantages, online corporate Communities of Practice (CoPs) are indispensable. However, often the majority of its participants does...
Mirjam Neelen, Sibren Fetter