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CVPR
2005
IEEE
16 years 1 months ago
Multiple Object Tracking with Kernel Particle Filter
A new particle filter, Kernel Particle Filter (KPF), is proposed for visual tracking for multiple objects in image sequences. The KPF invokes kernels to form a continuous estimate...
Cheng Chang, Rashid Ansari, Ashfaq A. Khokhar
DAC
1995
ACM
15 years 3 months ago
Extreme Delay Sensitivity and the Worst-Case Switching Activity in VLSI Circuits
Abstract We observe that the switching activity at a circuit node, also called the transition density, can be extremely sensitive to the circuit internal delays. As a result, sligh...
Farid N. Najm, Michael Y. Zhang
XPU
2007
Springer
15 years 6 months ago
Predicting Software Defect Density: A Case Study on Automated Static Code Analysis
The number of defects is an important indicator of software quality. Agile software development methods put an explicit requirement on automation and permanently low defect rates. ...
Artem Marchenko, Pekka Abrahamsson
ICVGIP
2004
15 years 1 months ago
A Robust Nonparametric Estimation Framework for Implicit Image Models
Robust model fitting is important for computer vision tasks due to the occurrence of multiple model instances, and, unknown nature of noise. The linear errors-in-variables (EIV) m...
Himanshu Arora, Maneesh Singh, Narendra Ahuja
SAC
2002
ACM
14 years 11 months ago
Option pricing under model and parameter uncertainty using predictive densities
The theoretical price of a financial option is given by the expectation of its discounted expiry time payoff. The computation of this expectation depends on the density of the val...
F. Oliver Bunnin, Yike Guo, Yuhe Ren