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» An approach to detecting failures automatically
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ICASSP
2011
IEEE
14 years 10 months ago
Detection of anomalous events from unlabeled sensor data in smart building environments
This paper presents a robust unsupervised learning approach for detection of anomalies in patterns of human behavior using multi-modal smart environment sensor data. We model the ...
Padmini Jaikumar, Aca Gacic, Burton Andrews, Micha...
DIMVA
2006
15 years 7 months ago
Using Type Qualifiers to Analyze Untrusted Integers and Detecting Security Flaws in C Programs
Incomplete or improper input validation is one of the major sources of security bugs in programs. While traditional approaches often focus on detecting string related buffer overfl...
Ebrima N. Ceesay, Jingmin Zhou, Michael Gertz, Kar...
ICASSP
2010
IEEE
15 years 6 months ago
Subword-based spoken term detection in audio course lectures
This paper investigates spoken term detection (STD) from audio recordings of course lectures obtained from an existing media repository. STD is performed from word lattices genera...
Richard Rose, Atta Norouzian, Aarthi Reddy, Andr&e...
TASLP
2002
93views more  TASLP 2002»
15 years 6 months ago
Robust endpoint detection and energy normalization for real-time speech and speaker recognition
When automatic speech recognition (ASR) and speaker verification (SV) are applied in adverse acoustic environments, endpoint detection and energy normalization can be crucial to th...
Qi Li, Jinsong Zheng, A. Tsai, Qiru Zhou
HYBRID
2007
Springer
16 years 19 days ago
Robust, Optimal Predictive Control of Jump Markov Linear Systems Using Particles
Hybrid discrete-continuous models, such as Jump Markov Linear Systems, are convenient tools for representing many real-world systems; in the case of fault detection, discrete jumps...
Lars Blackmore, Askar Bektassov, Masahiro Ono, Bri...