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» A Neural Probabilistic Language Model
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NC
2007
123views Neural Networks» more  NC 2007»
14 years 9 months ago
The complexity of latching transitions in large scale cortical networks
Abstract. We study latching dynamics, i.e. the ability of a network to hop spontaneously from one discrete attractor state to another, which has been proposed as a model of an inï¬...
Emilio Kropff, Alessandro Treves
ILP
2000
Springer
15 years 1 months ago
Bayesian Logic Programs
First-order probabilistic models are recognized as efficient frameworks to represent several realworld problems: they combine the expressive power of first-order logic, which serv...
Kristian Kersting, Luc De Raedt
CVPR
2008
IEEE
15 years 11 months ago
A mixed generative-discriminative framework for pedestrian classification
This paper presents a novel approach to pedestrian classification which involves utilizing the synthesized virtual samples of a learned generative model to enhance the classificat...
Markus Enzweiler, Dariu M. Gavrila
69
Voted
ISVC
2007
Springer
15 years 3 months ago
Blur in Human Vision and Increased Visual Realism in Virtual Environments
Abstract. A challenge for virtual reality (VR) applications is to increase the realism of an observer’s visual experience. For this purpose the variation of the blur an observer ...
Michael S. Bittermann, I. Sevil Sariyildiz, Ö...
117
Voted
EMNLP
2004
14 years 11 months ago
Dependencies vs. Constituents for Tree-Based Alignment
Given a parallel parsed corpus, statistical treeto-tree alignment attempts to match nodes in the syntactic trees for a given sentence in two languages. We train a probabilistic tr...
Daniel Gildea