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» Learning from Multiple Annotators with Gaussian Processes
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152
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ICCV
2003
IEEE
15 years 9 months ago
Reinforcement Learning for Combining Relevance Feedback Techniques
Relevance feedback (RF) is an interactive process which refines the retrievals by utilizing user’s feedback history. Most researchers strive to develop new RF techniques and ign...
Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei...
183
Voted
CVPR
2009
IEEE
16 years 11 months ago
Learning General Optical Flow Subspaces for Egomotion Estimation and Detection of Motion Anomalies
This paper deals with estimation of dense optical flow and ego-motion in a generalized imaging system by exploiting probabilistic linear subspace constraints on the flow. We dea...
Richard Roberts (Georgia Institute of Technology),...
136
Voted
BMCBI
2006
116views more  BMCBI 2006»
15 years 3 months ago
TaxMan: a taxonomic database manager
Background: Phylogenetic analysis of large, multiple-gene datasets, assembled from public sequence databases, is rapidly becoming a popular way to approach difficult phylogenetic ...
Martin Jones, Mark Blaxter
136
Voted
GI
2007
Springer
15 years 9 months ago
Background Modeling Using Adaptive Cluster Density Estimation for Automatic Human Detection
: Detection is an inherent part of every advanced automatic tracking system. In this work we focus on automatic detection of humans by enhanced background subtraction. Background s...
Harish Bhaskar, Lyudmila Mihaylova, Simon Maskell
152
Voted
ICPR
2010
IEEE
15 years 1 months ago
Regression-Based Multi-view Facial Expression Recognition
We present a regression-based scheme for multi-view facial expression recognition based on 2-D geometric features. We address the problem by mapping facial points (e.g. mouth corn...
Ognjen Rudovic, Ioannis Patras, Maja Pantic