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ICMLA
2010
14 years 12 months ago
Semi-Supervised Anomaly Detection for EEG Waveforms Using Deep Belief Nets
Abstract--Clinical electroencephalography (EEG) is routinely used to monitor brain function in critically ill patients, and specific EEG waveforms are recognized by clinicians as s...
Drausin Wulsin, Justin Blanco, Ram Mani, Brian Lit...
CVPR
2009
IEEE
1468views Computer Vision» more  CVPR 2009»
16 years 9 months ago
Hardware-Efficient Belief Propagation
Belief propagation (BP) is an effective algorithm for solving energy minimization problems in computer vision. However, it requires enormous memory, bandwidth, and computation beca...
Chao-Chung Cheng, Chia-Kai Liang, Homer H. Chen, L...
JELIA
2010
Springer
15 years 12 days ago
Stable Belief Sets Revisited
Stable belief sets were introduced by R. Stalnaker in the early ’80s, as a formal representation of the epistemic state for an ideal introspective agent. This notion motivated M...
Costas D. Koutras, Yorgos Zikos
ICC
2007
IEEE
153views Communications» more  ICC 2007»
15 years 8 months ago
Mapping for Iterative MMSE-SIC with Belief Propagation
Abstract— In Multiple-Input Multiple-Output (MIMO) wireless systems, since different signals are transmitted by different antennas simultaneously, interference occurs between the...
Satoshi Gounai, Tomoaki Ohtsuki
CVPR
2012
IEEE
13 years 4 months ago
The use of on-line co-training to reduce the training set size in pattern recognition methods: Application to left ventricle seg
The use of statistical pattern recognition models to segment the left ventricle of the heart in ultrasound images has gained substantial attention over the last few years. The mai...
Gustavo Carneiro, Jacinto C. Nascimento