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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
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 26 days 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»
15 years 12 months 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