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NIPS
2008
13 years 9 months ago
Learning Hybrid Models for Image Annotation with Partially Labeled Data
Extensive labeled data for image annotation systems, which learn to assign class labels to image regions, is difficult to obtain. We explore a hybrid model framework for utilizing...
Xuming He, Richard S. Zemel
CVPR
2011
IEEE
13 years 3 months ago
Energy Based Multiple Model Fitting for Non-Rigid Structure from Motion
In this paper we reformulate the 3D reconstruction of deformable surfaces from monocular video sequences as a labeling problem. We solve simultaneously for the assignment of featu...
Chris Russell, Joao Fayad, Lourdes Agapito
ICCV
2011
IEEE
12 years 7 months ago
Generalized Ordering Constraints for Multilabel Optimization
We propose a novel framework for imposing label ordering constraints in multilabel optimization. In particular, label jumps can be penalized differently depending on the jump dire...
Evgeny Strekalovskiy, Daniel Cremers
BMEI
2009
IEEE
13 years 8 months ago
A Framework of Adaptive Brain Computer Interfaces
Non-stationarity is often found in session-to-session transfers of Brain Computer Interfaces (BCIs). To cope with the problem, a framework based on Common Spatial Patterns (CSP), ...
Yan Li, Yasuharu Koike, Masashi Sugiyama
TNN
2011
142views more  TNN 2011»
13 years 1 months ago
Optimum Spatio-Spectral Filtering Network for Brain-Computer Interface
—This paper proposes a feature extraction method for motor imagery brain–computer interface (BCI) using electroencephalogram. We consider the primary neurophysiologic phenomeno...
Haihong Zhang, Zhang Yang Chin, Kai Keng Ang, Cunt...