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» Estimating the Accuracy of Learned Concepts
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ICDM
2006
IEEE
182views Data Mining» more  ICDM 2006»
15 years 3 months ago
Active Learning to Maximize Area Under the ROC Curve
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
Matt Culver, Kun Deng, Stephen D. Scott
3DPVT
2006
IEEE
163views Visualization» more  3DPVT 2006»
15 years 3 months ago
Vanishing Hull
Vanishing points are valuable in many vision tasks such as orientation estimation, pose recovery and 3D reconstruction from a single image. Many methods have been proposed to addr...
Jinhui Hu, Suya You, Ulrich Neumann
PERCOM
2005
ACM
15 years 9 months ago
Reducing the Calibration Effort for Location Estimation Using Unlabeled Samples
WLAN location estimation based on 802.11 signal strength is becoming increasingly prevalent in today's pervasive computing applications. As alternative to the wellestablished...
Xiaoyong Chai, Qiang Yang
DAGM
2010
Springer
14 years 10 months ago
Complex Motion Models for Simple Optical Flow Estimation
The selection of an optical flow method is mostly a choice from among accuracy, efficiency and ease of implementation. While variational approaches tend to be more accurate than lo...
Claudia Nieuwenhuis, Daniel Kondermann, Christoph ...
ICIP
2009
IEEE
15 years 10 months ago
Learning Large Margin Likelihoods For Realtime Head Pose Tracking
We consider the problem of head tracking and pose estimation in realtime from low resolution images. Tracking and pose recognition are treated as two coupled problems in a probabi...