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ML
2002
ACM
128views Machine Learning» more  ML 2002»
13 years 8 months ago
A Simple Method for Generating Additive Clustering Models with Limited Complexity
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
Michael D. Lee
CVPR
2010
IEEE
14 years 5 months ago
A Generative Perspective on MRFs in Low-Level Vision
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
Uwe Schmidt, Qi Gao, Stefan Roth
MOBIQUITOUS
2008
IEEE
14 years 3 months ago
A study on user acceptance of error visualization techniques
Location-based services in general require information about the position of certain objects. For instance, for a navigation service the position of the user needs to be known. Th...
Hendrik Lemelson, Thomas King, Wolfgang Effelsberg
ICCV
2011
IEEE
12 years 8 months ago
Optical Flow Estimation Using Learned Sparse Model
Optical flow estimation is a fundamental and ill-posed problem in computer vision. To recover a dense flow field, appropriate spatial constraints have to be enforced. Recent ad...
Kui Jia, Xiaogang Wang, Xiaoou Tang
NIPS
2004
13 years 10 months ago
Co-Validation: Using Model Disagreement on Unlabeled Data to Validate Classification Algorithms
In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...
Omid Madani, David M. Pennock, Gary William Flake