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ICIP
2006
IEEE
14 years 9 months ago
Computation Error Tolerance in Motion Estimation Algorithms
In this paper we study the computation error tolerance properties of motion estimation algorithms. We are motivated by two scenarios where hardware systems may introduce computati...
Hye-Yeon Cheong, In Suk Chong, Antonio Ortega
TIP
2010
141views more  TIP 2010»
13 years 2 months ago
Efficient Particle Filtering via Sparse Kernel Density Estimation
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
Amit Banerjee, Philippe Burlina
CVPR
2008
IEEE
14 years 10 months ago
Structure-perceptron learning of a hierarchical log-linear model
In this paper, we address the problems of deformable object matching (alignment) and segmentation with cluttered background. We propose a novel hierarchical log-linear model (HLLM...
Long Zhu, Yuanhao Chen, Xingyao Ye, Alan L. Yuille
PRDC
2007
IEEE
14 years 2 months ago
Improving Dependability Using Shared Supplementary Memory and Opportunistic Micro Rejuvenation in Multi-tasking Embedded Systems
We propose a comprehensive solution to handle memory-overflow problems in multitasking embedded systems thereby improving their reliability and availability. In particular, we pro...
Vinaitheerthan Sundaram, Sandip HomChaudhuri, Sach...
ICML
2007
IEEE
14 years 9 months ago
Multifactor Gaussian process models for style-content separation
We introduce models for density estimation with multiple, hidden, continuous factors. In particular, we propose a generalization of multilinear models using nonlinear basis functi...
Jack M. Wang, David J. Fleet, Aaron Hertzmann