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» A Framework for Partial Data Flow Analysis
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DAGM
2006
Springer
13 years 11 months ago
On-Line, Incremental Learning of a Robust Active Shape Model
Abstract. Active Shape Models are commonly used to recognize and locate different aspects of known rigid objects. However, they require an off-line learning stage, such that the ex...
Michael Fussenegger, Peter M. Roth, Horst Bischof,...
ISCA
2007
IEEE
120views Hardware» more  ISCA 2007»
14 years 2 months ago
Examining ACE analysis reliability estimates using fault-injection
ACE analysis is a technique to provide an early reliability estimate for microprocessors. ACE analysis couples data from performance models with low level design details to identi...
Nicholas J. Wang, Aqeel Mahesri, Sanjay J. Patel
EDBT
2010
ACM
135views Database» more  EDBT 2010»
14 years 2 months ago
Region-based online promotion analysis
This paper addresses a fundamental and challenging problem with broad applications: efficient processing of region-based promotion queries, i.e., to discover the top-k most inter...
Tianyi Wu, Yizhou Sun, Cuiping Li, Jiawei Han
ICNP
2005
IEEE
14 years 1 months ago
Typed Abstraction of Complex Network Compositions
straction of Complex Network Compositions∗ Azer Bestavros, Adam D. Bradley, Assaf J. Kfoury, and Ibrahim Matta Department of Computer Science Boston University The heterogeneity...
Azer Bestavros, Adam Bradley, Assaf J. Kfoury, Ibr...
IPSN
2004
Springer
14 years 1 months ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal