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NIPS
2004
15 years 15 days ago
Dynamic Bayesian Networks for Brain-Computer Interfaces
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
Pradeep Shenoy, Rajesh P. N. Rao
AI
2011
Springer
14 years 2 months ago
Parallelizing a Convergent Approximate Inference Method
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
Ming Su, Elizabeth Thompson
89
Voted
ICPR
2004
IEEE
16 years 7 days ago
From Massively Parallel Image Processors to Fault-Tolerant Nanocomputers
Parallel processors such as SIMD computers have been successfully used in various areas of high performance image and data processing. Due to their characteristics of highly regula...
Jie Han, Pieter Jonker
EMMCVPR
2005
Springer
15 years 4 months ago
Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study
Abstract. Estimation of parameters of random field models from labeled training data is crucial for their good performance in many image analysis applications. In this paper, we p...
Sanjiv Kumar, Jonas August, Martial Hebert
LREC
2008
84views Education» more  LREC 2008»
15 years 17 days ago
A Test Suite for Inference Involving Adjectives
Recently, most of the research in NLP has concentrated on the creation of applications coping with textual entailment. However, there still exist very few resources for the evalua...
Marilisa Amoia, Claire Gardent