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BMCBI
2007
147views more  BMCBI 2007»
15 years 7 months ago
Statistical analysis and significance testing of serial analysis of gene expression data using a Poisson mixture model
Background: Serial analysis of gene expression (SAGE) is used to obtain quantitative snapshots of the transcriptome. These profiles are count-based and are assumed to follow a Bin...
Scott D. Zuyderduyn
IJCV
2006
171views more  IJCV 2006»
15 years 6 months ago
Combining Generative and Discriminative Models in a Framework for Articulated Pose Estimation
We develop a method for the estimation of articulated pose, such as that of the human body or the human hand, from a single (monocular) image. Pose estimation is formulated as a s...
Rómer Rosales, Stan Sclaroff
ATAL
2009
Springer
16 years 1 months ago
Generalized model learning for reinforcement learning in factored domains
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
Todd Hester, Peter Stone
CSCWD
2008
Springer
15 years 8 months ago
Development of a project level performance measurement model for improving collaborative design team work
This research explored a new direction of improving collaborative design by performance measurement. More specifically, a novel 3-dimensional performance measurement model is deve...
Yuanyuan Yin, Shengfeng Qin, Ray Holland
ECCV
2008
Springer
16 years 8 months ago
Facial Expression Recognition Based on 3D Dynamic Range Model Sequences
Traditionally, facial expression recognition (FER) issues have been studied mostly based on modalities of 2D images, 2D videos, and 3D static models. In this paper, we propose a sp...
Yi Sun, Lijun Yin