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VLDB
2007
ACM
122views Database» more  VLDB 2007»
16 years 6 months ago
MIST: Distributed Indexing and Querying in Sensor Networks using Statistical Models
The modeling of high level semantic events from low level sensor signals is important in order to understand distributed phenomena. For such content-modeling purposes, transformat...
Arnab Bhattacharya, Anand Meka, Ambuj K. Singh
CVPR
2004
IEEE
16 years 8 months ago
MetaMorphs: Deformable Shape and Texture Models
We present a new class of deformable models, MetaMorphs, whose formulation integrates both shape and interior texture. The model deformations are derived from both boundary and re...
Xiaolei Huang, Dimitris N. Metaxas, Ting Chen
ICCAD
2006
IEEE
147views Hardware» more  ICCAD 2006»
16 years 3 months ago
Analysis and modeling of CD variation for statistical static timing
Statistical static timing analysis (SSTA) has become a key method for analyzing the effect of process variation in aggressively scaled CMOS technologies. Much research has focused...
Brian Cline, Kaviraj Chopra, David Blaauw, Yu Cao
SIGMETRICS
2003
ACM
165views Hardware» more  SIGMETRICS 2003»
15 years 11 months ago
A hybrid systems modeling framework for fast and accurate simulation of data communication networks
In this paper we present a general hybrid systems modeling framework to describe the flow of traffic in communication networks. To characterize network behavior, these models use...
Stephan Bohacek, João P. Hespanha, Junsoo L...
NIPS
1994
15 years 7 months ago
Using a neural net to instantiate a deformable model
Deformable models are an attractive approach to recognizing nonrigid objects which have considerable within class variability. However, there are severe search problems associated...
Christopher K. I. Williams, Michael Revow, Geoffre...