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» Activity Modeling Using Event Probability Sequences
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NAACL
2003
13 years 9 months ago
Active Learning for Classifying Phone Sequences from Unsupervised Phonotactic Models
This paper describes an application of active learning methods to the classification of phone strings recognized using unsupervised phonotactic models. The only training data req...
Shona Douglas
AAAI
2004
13 years 9 months ago
CAMEO: Modeling Human Activity in Formal Meeting Situations
We present CAMEO, the Camera Assisted Meeting Event Observer, which is a physical awareness system designed for use by an agent-based electronic assistant. CAMEO is used to observ...
Paul E. Rybski, Fernando De la Torre, Raju Patil, ...
TIP
2008
169views more  TIP 2008»
13 years 7 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht
ICCV
2005
IEEE
14 years 9 months ago
Active Search for Real-Time Vision
In most cases when information is to be extracted from an image, there are priors available on the state of the world and therefore on the detailed measurements which will be obta...
Andrew J. Davison
DATE
1999
IEEE
112views Hardware» more  DATE 1999»
13 years 12 months ago
Efficient Switching Activity Simulation under a Real Delay Model Using a Bitparallel Approach
Estimating switching activity is a crucial step in optimizing circuits for low power. In this paper, a fast gate level switching activity estimator for combinational circuits will...
Markus Bühler, Matthias Papesch, K. Kapp, Utz...