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» Quantizing Density Estimators
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CVPR
2004
IEEE
14 years 9 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
ICASSP
2011
IEEE
12 years 11 months ago
Sequential Monte Carlo method for parameter estimation in diffusion models of affinity-based biosensors
Estimation of the amounts of target molecules in realtime affinity-based biosensors is studied. The problem is mapped to inferring the parameters of a temporally sampled diffusio...
Manohar Shamaiah, Xiaohu Shen, Haris Vikalo
CVPR
1999
IEEE
14 years 9 months ago
Implicit Representation and Scene Reconstruction from Probability Density Functions
A technique is presented for representing linear features as probability density functions in two or three dimensions. Three chief advantages of this approach are (1) a unified re...
Steven M. Seitz, P. Anandan
ICICIC
2006
IEEE
14 years 1 months ago
Visibility Estimation in Foggy Conditions by In-Vehicle Camera and Radar
We propose a method of judging fog density by using invehicle camera images and millimeter-wave (mm-W) radar data. This method determines fog density by evaluating both the visibi...
Kenji Mori, Terutoshi Kato, Tomokazu Takahashi, Ic...
DATE
2006
IEEE
111views Hardware» more  DATE 2006»
14 years 1 months ago
Extraction of defect density and size distributions from wafer sort test results
Defect density and defect size distributions (DDSDs) are key parameters used in IC yield loss predictions. Traditionally, memories and specialized test structures have been used t...
Jeffrey E. Nelson, Thomas Zanon, Rao Desineni, Jas...