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HUMO
2007
Springer
16 years 23 days ago
Silhouette Based Generic Model Adaptation for Marker-Less Motion Capturing
This work presents a marker-less motion capture system that incorporates an approach to smoothly adapt a generic model mesh to the individual shape of a tracked person. This is don...
Martin Sunkel, Bodo Rosenhahn, Hans-Peter Seidel
ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
16 years 6 days ago
Learning through Changes: An Empirical Study of Dynamic Behaviors of Probability Estimation Trees
In practice, learning from data is often hampered by the limited training examples. In this paper, as the size of training data varies, we empirically investigate several probabil...
Kun Zhang, Zujia Xu, Jing Peng, Bill P. Buckles
ICASSP
2010
IEEE
15 years 6 months ago
Language model adaptation using Random Forests
In this paper we investigate random forest based language model adaptation. Large amounts of out-of-domain data are used to grow the decision trees while very small amounts of in-...
Anoop Deoras, Frederick Jelinek, Yi Su
ICCV
2007
IEEE
16 years 8 months ago
3D Variational Brain Tumor Segmentation using a High Dimensional Feature Set
Tumor segmentation from MRI data is an important but time consuming task performed manually by medical experts. Automating this process is challenging due to the high diversity in...
Albert Murtha, Dana Cobzas, Mark Schmidt, Martin J...
ICRA
2008
IEEE
149views Robotics» more  ICRA 2008»
16 years 1 months ago
Information-optimal selective data return for autonomous rover traverse science and survey
— Selective data return leverages onboard data analysis to allocate limited bandwidth resources during remote exploration. Here we present an adaptive method to subsample image s...
David R. Thompson, Trey Smith, David Wettergreen