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» Tackling Large State Spaces in Performance Modelling
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MMB
2010
Springer
185views Communications» more  MMB 2010»
13 years 11 months ago
Correctness Issues of Symbolic Bisimulation Computation for Markov Chains
Abstract. Bisimulation reduction is a classical means to fight the infamous state space explosion problem, which limits the applicability of automated methods for verification li...
Ralf Wimmer, Bernd Becker
SIGGRAPH
2010
ACM
14 years 1 months ago
Stable spaces for real-time clothing
We present a technique for learning clothing models that enables the simultaneous animation of thousands of detailed garments in real-time. This surprisingly simple conditional mo...
Edilson de Aguiar, Leonid Sigal, Adrien Treuille, ...
SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
13 years 10 months ago
Less is More: Compact Matrix Decomposition for Large Sparse Graphs
Given a large sparse graph, how can we find patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network traffic monitoring, resea...
Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Falo...
GLOBECOM
2007
IEEE
14 years 3 months ago
Symbol Error Rate Calculation for Alamouti Space Time Coded OFDM in Direct Conversion Receivers
—In this paper we present an analytical approach to evaluate the M-QAM symbol error rate (SER) of Alamouti space time coded OFDM direct conversion receivers subject to carrier fr...
Marco Krondorf, Gerhard Fettweis
NIPS
2008
13 years 10 months ago
Cascaded Classification Models: Combining Models for Holistic Scene Understanding
One of the original goals of computer vision was to fully understand a natural scene. This requires solving several sub-problems simultaneously, including object detection, region...
Geremy Heitz, Stephen Gould, Ashutosh Saxena, Daph...