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AAAI
2011
14 years 6 months ago
Sparse Matrix-Variate t Process Blockmodels
We consider the problem of modeling network interactions and identifying latent groups of network nodes. This problem is challenging due to the facts i) that the network nodes are...
Zenglin Xu, Feng Yan, Yuan Qi
CVPR
2006
IEEE
16 years 18 days ago
Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
We present an algorithm for jointly learning a consistent bidirectional generative-recognition model that combines top-down and bottom-up processing for monocular 3d human motion ...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
DGO
2008
99views Education» more  DGO 2008»
15 years 8 months ago
Specifying and verifying requirements for election processes
In this paper we outline an approach for modeling election processes and then performing rigorous analysis to verify that these process models meet selected behavioral requirement...
Borislava I. Simidchieva, Matthew Marzilli, Lori A...
IWANN
1999
Springer
15 years 10 months ago
Pattern Recognition System with Top-Down Process of Mental Rotation
A new model which can recognize rotated, distorted, scaled, shifted and noised patterns is proposed. The model is constructed based on psychological experiments in a mental rotatio...
Shunji Satoh, Hirotomo Aso, Shogo Miyake, Jousuke ...
ICCAD
2007
IEEE
134views Hardware» more  ICCAD 2007»
15 years 10 months ago
Efficient decoupling capacitance budgeting considering operation and process variations
This paper solves the variation-aware on-chip decoupling capacitance (decap) budgeting problem. Unlike previous work assuming the worst-case current load, we develop a novel stocha...
Yiyu Shi, Jinjun Xiong, Chunchen Liu, Lei He