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ICMCS
2005
IEEE
153views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Improved semantic region labeling based on scene context
Semantic region labeling in outdoor scenes, e.g., identifying sky, grass, foliage, water, and snow, facilitates content-based image retrieval, organization, and enhancement. A maj...
Matthew R. Boutell, Jiebo Luo, Christopher M. Brow...
UCS
2007
Springer
15 years 3 months ago
Instant Learning Sound Sensor: Flexible Real-World Event Recognition System for Ubiquitous Computing
We propose a smart sound sensor for building context-aware systems that instantly learn and detect events from various kinds of everyday sounds and environmental noise by using sma...
Yuya Negishi, Nobuo Kawaguchi
EDM
2011
197views Data Mining» more  EDM 2011»
13 years 9 months ago
Towards Improvements on Domain-independent Measurements for Collaborative Assessment
Assessment on collaborative student behavior is a longstanding issue in user modeling. Nowadays thanks to the proliferation of online learning and the vast amount of data on studen...
Antonio R. Anaya, Jesus Boticario
IMC
2009
ACM
15 years 4 months ago
ANTIDOTE: understanding and defending against poisoning of anomaly detectors
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
Benjamin I. P. Rubinstein, Blaine Nelson, Ling Hua...
FORTE
2008
14 years 11 months ago
Detecting Communication Protocol Security Flaws by Formal Fuzz Testing and Machine Learning
Network-based fuzz testing has become an effective mechanism to ensure the security and reliability of communication protocol systems. However, fuzz testing is still conducted in a...
Guoqiang Shu, Yating Hsu, David Lee