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» Learning qualitative models from numerical data
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CHI
2011
ACM
14 years 10 months ago
Modeling users of intelligent systems
While many devices today increasingly have the ability to predict human activities, it is still difficult to build accurate personalized machine learning models. As users today wi...
Stephanie Rosenthal
BMCBI
2007
82views more  BMCBI 2007»
15 years 6 months ago
Visualization of three-way comparisons of omics data
Background: Density plot visualizations (also referred to as heat maps or color maps) are widely used in different fields including large-scale omics studies in biological science...
Richard Baran, Martin Robert, Makoto Suematsu, Tom...
PAMI
2012
13 years 9 months ago
Quantifying and Transferring Contextual Information in Object Detection
— Context is critical for reducing the uncertainty in object detection. However, context modelling is challenging because there are often many different types of contextual infor...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang
IUI
2009
ACM
16 years 1 months ago
Discovering frequent work procedures from resource connections
Intelligent desktop assistants could provide more help for users if they could learn models of the users’ workflows. However, discovering desktop workflows is difficult becau...
Jianqiang Shen, Erin Fitzhenry, Thomas G. Dietteri...
ICCV
2005
IEEE
16 years 8 days ago
Uncalibrated Perspective Reconstruction of Deformable Structures
Reconstruction of 3D structures from uncalibrated image sequences has a wealthy history. Most work has been focused on rigid objects or static scenes. This paper studies the probl...
Jing Xiao, Takeo Kanade