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CVPR
2005
IEEE
16 years 2 months ago
Tracking Multiple Mouse Contours (without Too Many Samples)
We present a particle filtering algorithm for robustly tracking the contours of multiple deformable objects through severe occlusions. Our algorithm combines a multiple blob track...
Kristin Branson, Serge Belongie
PODS
2000
ACM
146views Database» more  PODS 2000»
15 years 4 months ago
Analysis and Application of Adaptive Sampling
An estimation algorithm for a query is a probabilistic algorithm that computes an approximation for the size (number of tuples) of the query. One class of estimation algorithms us...
James F. Lynch
107
Voted
SIGMOD
1998
ACM
121views Database» more  SIGMOD 1998»
15 years 4 months ago
New Sampling-Based Summary Statistics for Improving Approximate Query Answers
In large data recording and warehousing environments, it is often advantageous to provide fast, approximate answers to queries, whenever possible. Before DBMSs providing highly-ac...
Phillip B. Gibbons, Yossi Matias
ISPD
2012
ACM
248views Hardware» more  ISPD 2012»
13 years 8 months ago
A fast estimation of SRAM failure rate using probability collectives
Importance sampling is a popular approach to estimate rare event failures of SRAM cells. We propose to improve importance sampling by probability collectives. First, we use “Kul...
Fang Gong, Sina Basir-Kazeruni, Lara Dolecek, Lei ...
101
Voted
JMM2
2007
157views more  JMM2 2007»
15 years 8 days ago
Sub-band Implementation of Adaptive Nonlinear Filter for Adaptive Nonlinear Echo Cancellation
—The adaptive Volterra filter has been successfully applied in nonlinear acoustic echo cancellation (AEC) systems and nonlinear line echo cancellation systems, but its applicatio...
Dayong Zhou, Yunhua Wang, Victor E. DeBrunner, Lin...