2610 search results - page 162 / 522 » Computational Probabilistic Non-interference |
124
click to vote
TNN
2008
15 years 2 months ago
2008
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
111
Voted
COLING
2002
15 years 2 months ago
2002
We present a novel disambiguation method for unification-based grammars (UBGs). In contrast to other methods, our approach obviates the need for probability models on the UBG side...
147
Voted
ANTSW
2010
Springer
15 years 16 days ago
2010
Springer
Robot swarms provide a way for a number of simple robots to work together to carry out a task. While swarms have been found to be adaptable, fault-tolerant and widely applicable, d...
124
Voted
CVPR
2008
IEEE
16 years 4 months ago
2008
IEEE
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
125
Voted
ECCV
2004
Springer
16 years 4 months ago
2004
Springer
Abstract. A model of human appearance is presented for efficient pose estimation from real-world images. In common with related approaches, a high-level model defines a space of co...