552 search results - page 15 / 111 » Abstracting from Robot Sensor Data using Hidden Markov Model... |
TASLP
2002
14 years 9 months ago
2002
The first stage in many pattern recognition tasks is to generate a good set of features from the observed data. Usually, only a single feature space is used. However, in some compl...
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Voted
EMNLP
2007
14 years 11 months ago
2007
We present two machine learning approaches to information extraction from semi-structured documents that can be used if no annotated training data are available, but there does ex...
ICC
2009
IEEE
15 years 4 months ago
2009
IEEE
—In host-based intrusion detection systems (HIDS), anomaly detection involves monitoring for significant deviations from normal system behavior. Hidden Markov Models (HMMs) have...
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
We develop nonparametric Bayesian models for multiscale representations of images depicting natural scene categories. Individual features or wavelet coefficients are marginally de...
ICMCS
2000
IEEE
15 years 2 months ago
2000
IEEE
Inferences from time-series data can be greatly enhanced by taking into account multiple modalities. In some cases, such as audio of speech and the corresponding video of lip gest...