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» Learning Generative Models via Discriminative Approaches
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138
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ICCV
2009
IEEE
1136views Computer Vision» more  ICCV 2009»
16 years 8 months ago
Robust Graph-Cut Scene Segmentation and Reconstruction for Free-Viewpoint Video of Complex Dynamic Scenes
Current state-of-the-art image-based scene reconstruction techniques are capable of generating high-fidelity 3D models when used under controlled capture conditions. However, th...
Jean-Yves Guillemaut, Joe Kilner and Adrian Hilton
116
Voted
ICASSP
2009
IEEE
15 years 10 months ago
Sparse LMS for system identification
We propose a new approach to adaptive system identification when the system model is sparse. The approach applies the ℓ1 relaxation, common in compressive sensing, to improve t...
Yilun Chen, Yuantao Gu, Alfred O. Hero III
111
Voted
RE
2008
Springer
15 years 3 months ago
Rule-Based Maintenance of Post-Requirements Traceability Relations
An accurate set of traceability relations between software development artifacts is desirable to support evolutionary development. However, even where an initial set of traceabili...
Patrick Mäder, Orlena Gotel, Ilka Philippow
137
Voted
ICCV
2009
IEEE
1824views Computer Vision» more  ICCV 2009»
16 years 8 months ago
Beyond the Euclidean distance: Creating effective visual codebooks using the histogram intersection kernel
Common visual codebook generation methods used in a Bag of Visual words model, e.g. k-means or Gaussian Mixture Model, use the Euclidean distance to cluster features into visual...
Jianxin Wu, James M. Rehg
123
Voted
ACL
2012
13 years 6 months ago
Building Trainable Taggers in a Web-based, UIMA-Supported NLP Workbench
Argo is a web-based NLP and text mining workbench with a convenient graphical user interface for designing and executing processing workflows of various complexity. The workbench...
Rafal Rak, BalaKrishna Kolluru, Sophia Ananiadou