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ACMSE
2005
ACM
15 years 9 months ago
Investigating hidden Markov models capabilities in anomaly detection
Hidden Markov Model (HMM) based applications are common in various areas, but the incorporation of HMM's for anomaly detection is still in its infancy. This paper aims at cla...
Shrijit S. Joshi, Vir V. Phoha
138
Voted
JCS
2002
115views more  JCS 2002»
15 years 3 months ago
Panoptis: Intrusion Detection Using a Domain-Specific Language
We describe the use of a domain-specific language (DSL) for expressing critical design values and constraints in an intrusion detection application. Through the use of this specia...
Diomidis Spinellis, Dimitris Gritzalis
CVPR
1998
IEEE
16 years 5 months ago
Rotation Invariant Neural Network-Based Face Detection
In this paper, we present a neural network-based face detection system. Unlike similar systems which are limited to detecting upright, frontal faces, this system detects faces at ...
Henry A. Rowley, Shumeet Baluja, Takeo Kanade
ICPR
2004
IEEE
16 years 4 months ago
Real-Time Face Detection Using Boosting in Hierarchical Feature Spaces
Boosting-basedmethods have recently led to the state-ofthe-art face detection systems. In these systems, weak classifiers to be boosted are based on simple, local, Haar-like featu...
Daniel Gatica-Perez, Dong Zhang, Stan Z. Li
123
Voted
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
15 years 9 months ago
Nonlinearity linkage detection for financial time series analysis
Standard detection algorithms for nonlinearity linkage fail when applied to typical problems in the analysis of financial time-series data. We explain how this failure arises whe...
Theodore Chiotis, Christopher D. Clack