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» On Using Monte Carlo Methods for Scheduling
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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...
EUROCOLT
1999
Springer
13 years 12 months ago
Query by Committee, Linear Separation and Random Walks
Abstract. Recent works have shown the advantage of using Active Learning methods, such as the Query by Committee (QBC) algorithm, to various learning problems. This class of Algori...
Ran Bachrach, Shai Fine, Eli Shamir
ISBI
2006
IEEE
14 years 8 months ago
Bayesian tracking for fluorescence microscopic imaging
Fluorescence microscopy is a powerful imaging tool for studying molecular dynamics in living cells. For quantitative motion analysis of subcellular structures robust and accurate ...
Ihor Smal, Wiro J. Niessen, Erik H. W. Meijering
ICCAD
2008
IEEE
153views Hardware» more  ICCAD 2008»
14 years 4 months ago
Breaking the simulation barrier: SRAM evaluation through norm minimization
— With process variation becoming a growing concern in deep submicron technologies, the ability to efficiently obtain an accurate estimate of failure probability of SRAM compone...
Lara Dolecek, Masood Qazi, Devavrat Shah, Anantha ...
DATE
2000
IEEE
110views Hardware» more  DATE 2000»
14 years 1 days ago
Stochastic Modeling and Performance Evaluation for Digital Clock and Data Recovery Circuits
Clock and data recovery circuits are essential components in communication systems. They directly influence the bit-error-rate performance of communication links. It is desirable...
Alper Demir, Peter Feldmann