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» Performance Evaluation of HPCN Applications
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CVPR
2009
IEEE
1133views Computer Vision» more  CVPR 2009»
17 years 2 months ago
Hierarchical Spatio-Temporal Context Modeling for Action Recognition
The problem of recognizing actions in realistic videos is challenging yet absorbing owing to its great potentials in many practical applications. Most previous research is limit...
Jintao Li, Ju Sun, Loong Fah Cheong, Shuicheng Yan...
200
Voted
ICCV
2009
IEEE
17 years 15 days ago
Semi-Supervised Random Forests
Random Forests (RFs) have become commonplace in many computer vision applications. Their popularity is mainly driven by their high computational efficiency during both training ...
Christian Leistner, Amir Saffari, Jakob Santner, H...
226
Voted
ICCV
2009
IEEE
2030views Computer Vision» more  ICCV 2009»
17 years 15 days ago
Robust Tracking-by-Detection using a Detector Confidence Particle Filter
We propose a novel approach for multi-person trackingby- detection in a particle filtering framework. In addition to final high-confidence detections, our algorithm uses the con...
Michael D. Breitenstein, Fabian Reichlin, Bastian ...
208
Voted
ICCV
2009
IEEE
16 years 11 months ago
Sparsity Induced Similarity Measure for Label Propagation
Graph-based semi-supervised learning has gained considerable interests in the past several years thanks to its effectiveness in combining labeled and unlabeled data through labe...
Hong Cheng, Zicheng Liu, Jie Yang
CVPR
2000
IEEE
16 years 9 months ago
Fluid Structure and Motion Analysis from Multi-spectrum 2D Cloud Image Sequences
In this paper we present a novel approach to estimate and analyze 3D uid structure and motion of clouds from multi-spectrum 2D cloud image sequences. Accurate cloud-top structure ...
Lin Zhou, Chandra Kambhamettu, Dmitry B. Goldgof