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NIPS
2008
12 years 3 months ago
Human Active Learning
We investigate a topic at the interface of machine learning and cognitive science. Human active learning, where learners can actively query the world for information, is contraste...
Rui M. Castro, Charles Kalish, Robert Nowak, Ruich...
ICIP
2007
IEEE
13 years 3 months ago
Extrapolating Learned Manifolds for Human Activity Recognition
The problem of human activity recognition via visual stimuli can be approached using manifold learning, since the silhouette (binary) images of a person undergoing a smooth motion...
Tat-Jun Chin, Liang Wang, Konrad Schindler, David ...
ETS
2002
IEEE
116views Hardware» more  ETS 2002»
12 years 1 months ago
Human Activity Systems: A Theoretical Framework for Designing Learning for Multicultural Settings
In the analysis of any learning environment, whether small or large, one observes within it a "set of human activities related to each other so they can be viewed as a whole&...
Jill Slay
CVPR
2010
IEEE
12 years 10 months ago
Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities
Detecting objects in cluttered scenes and estimating articulated human body parts are two challenging problems in computer vision. The dif´Čüculty is particularly pronounced in ac...
Bangpeng Yao, Li Fei-Fei
KDD
2009
ACM
205views Data Mining» more  KDD 2009»
12 years 8 months ago
From active towards InterActive learning: using consideration information to improve labeling correctness
Data mining techniques have become central to many applications. Most of those applications rely on so called supervised learning algorithms, which learn from given examples in th...
Abraham Bernstein, Jiwen Li
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