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» Simulation Optimization: Methods and Applications
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PKDD
2009
Springer
153views Data Mining» more  PKDD 2009»
16 years 1 months ago
Subspace Regularization: A New Semi-supervised Learning Method
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-L...
TIP
2008
185views more  TIP 2008»
15 years 6 months ago
Active Learning Methods for Interactive Image Retrieval
Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensio...
Philippe Henri Gosselin, Matthieu Cord
192
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ICCV
2009
IEEE
15 years 4 months ago
Improving accuracy of geometric parameter estimation using projected score method
A fundamental problem in computer vision (CV) is the estimation of geometric parameters from multiple observations obtained from images; examples of such problems range from ellip...
Takayuki Okatani, Koichiro Deguchi
ICMCS
2007
IEEE
194views Multimedia» more  ICMCS 2007»
16 years 1 months ago
Automatically Tuning Background Subtraction Parameters using Particle Swarm Optimization
A common trait of background subtraction algorithms is that they have learning rates, thresholds, and initial values that are hand-tuned for a scenario in order to produce the des...
Brandyn White, Mubarak Shah
MDM
2004
Springer
138views Communications» more  MDM 2004»
16 years 7 days ago
Optimizing Data Placement over Wireless Broadcast Channel for Multi-Dimensional Range Query Processing
Data broadcasting is well known for its excellent scalability. Multi-dimensional range queries, such as spatial range queries of geographical information for location dependent se...
Jianting Zhang, Le Gruenwald