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» FeatureMapper: mapping features to models
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NIPS
2008
15 years 1 months ago
Robust Kernel Principal Component Analysis
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
Minh Hoai Nguyen, Fernando De la Torre
CVPR
2007
IEEE
16 years 2 months ago
Fast Human Pose Estimation using Appearance and Motion via Multi-Dimensional Boosting Regression
We address the problem of estimating human pose in video sequences, where rough location has been determined. We exploit both appearance and motion information by defining suitabl...
Alessandro Bissacco, Ming-Hsuan Yang, Stefano Soat...
ETFA
2008
IEEE
15 years 7 months ago
3D-based monocular SLAM for mobile agents navigating in indoor environments
This paper presents a novel algorithm for 3D depth estimation using a particle filter (PFDE - Particle Filter Depth Estimation) in a monocular vSLAM (Visual Simultaneous Localiza...
Dejan Pangercic, Radu Bogdan Rusu, Michael Beetz
SCFBM
2008
119views more  SCFBM 2008»
14 years 12 months ago
Boolean network simulations for life scientists
Modern life sciences research increasingly relies on computational solutions, from large scale data analyses to theoretical modeling. Within the theoretical models Boolean network...
István Albert, Juilee Thakar, Song Li, Ranr...
ICRA
2010
IEEE
211views Robotics» more  ICRA 2010»
14 years 11 months ago
A saliency-based approach to boost trail detection
— This paper presents a saliency-based solution to boost trail detection. The proposed model builds on the empirical observation that trails are usually conspicuous structures in...
Pedro Santana, Nelson Alves, Luís Correia, ...