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» A new look at state-space models for neural data
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BMCBI
2007
186views more  BMCBI 2007»
13 years 10 months ago
Modeling human cancer-related regulatory modules by GA-RNN hybrid algorithms
Background: Modeling cancer-related regulatory modules from gene expression profiling of cancer tissues is expected to contribute to our understanding of cancer biology as well as...
Jung-Hsien Chiang, Shih-Yi Chao
ICANN
2007
Springer
14 years 4 months ago
Inferring Cognition from fMRI Brain Images
Abstract. Over the last few years, functional Magnetic Resonance Imaging (fMRI) has emerged as a new and powerful method to map the cognitive states of a human subject to specific...
Diego Sona, Sriharsha Veeramachaneni, Emanuele Oli...
NIPS
1997
13 years 11 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
WISE
2000
Springer
14 years 2 months ago
Modelling the Webspace of an Intranet
Searching the internet using the currently available searchengines is not satisfactory. Thetechniquesused there focus on the extraction of relevant informationdirectlyfrom the doc...
Roelof van Zwol, Peter M. G. Apers
ISMAR
2008
IEEE
14 years 4 months ago
Fast annotation and modeling with a single-point laser range finder
This paper presents methodology for integrating a small, singlepoint laser range finder into a wearable augmented reality system. We first present a way of creating object-align...
Jason Wither, Christopher Coffin, Jonathan Ventura...