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» Learning Gaussian processes from multiple tasks
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AAAI
2008
15 years 5 months ago
Manifold Integration with Markov Random Walks
Most manifold learning methods consider only one similarity matrix to induce a low-dimensional manifold embedded in data space. In practice, however, we often use multiple sensors...
Heeyoul Choi, Seungjin Choi, Yoonsuck Choe
TIP
2008
169views more  TIP 2008»
15 years 3 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht
130
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IEEEVAST
2010
14 years 10 months ago
A visual analytics approach to model learning
The process of learning models from raw data typically requires a substantial amount of user input during the model initialization phase. We present an assistive visualization sys...
Supriya Garg, I. V. Ramakrishnan, Klaus Mueller
GROUP
2009
ACM
15 years 9 months ago
Two peers are better than one: aggregating peer reviews for computing assignments is surprisingly accurate
Scientiï¬c peer review, open source software development, wikis, and other domains use distributed review to improve quality of created content by providing feedback to the workâ...
Ken Reily, Pam Ludford Finnerty, Loren G. Terveen
ICCV
2009
IEEE
16 years 8 months ago
Action Detection in Complex Scenes with Spatial and Temporal Ambiguities
In this paper, we investigate the detection of semantic human actions in complex scenes. Unlike conventional action recognition in well-controlled environments, action detection...
Yuxiao Hu, Liangliang Cao, Fengjun Lv, Shuicheng Y...