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ICCCN
2008
IEEE
16 years 24 days ago
Massively Parallel Anomaly Detection in Online Network Measurement
—Detecting anomalies during the operation of a network is an important aspect of network management and security. Recent development of high-performance embedded processing syste...
Shashank Shanbhag, Tilman Wolf
167
Voted
ICPR
2008
IEEE
16 years 24 days ago
A probabilistic model for classifying segmented images
In this work we introduce a probabilistic model for classifying segmented images. The proposed classifier is very general and it can deal both with images that were segmented wit...
Liang Wu, Predrag Neskovic, Leon N. Cooper
ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
15 years 12 months ago
Learning through Changes: An Empirical Study of Dynamic Behaviors of Probability Estimation Trees
In practice, learning from data is often hampered by the limited training examples. In this paper, as the size of training data varies, we empirically investigate several probabil...
Kun Zhang, Zujia Xu, Jing Peng, Bill P. Buckles
RISE
2004
Springer
15 years 11 months ago
A Symbolic Model Checker for tccp Programs
In this paper, we develop a symbolic representation for timed concurrent constraint (tccp) programs, which can be used for defining a lightweight model–checking algorithm for re...
María Alpuente, Moreno Falaschi, Alicia Vil...
145
Voted
TACAS
2001
Springer
92views Algorithms» more  TACAS 2001»
15 years 10 months ago
Language Containment Checking with Nondeterministic BDDs
Abstract. Checking for language containment between nondeterministic ω-automata is a central task in automata-based hierarchical verification. We present a symbolic procedure for...
Bernd Finkbeiner