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UAI
1996
15 years 1 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
CLEF
2010
Springer
15 years 29 days ago
ImageCLEF 2010 Working Notes on the Modality Classification Subtask
The goal of this work is to investigate the performance of classical methods for feature description and classification, and to identify the difficulties of the ImageCLEF 2010 moda...
Olivier Pauly, Diana Mateus, Nassir Navab
HUC
2010
Springer
15 years 28 days ago
Psycho-physiological measures for assessing cognitive load
With a focus on presenting information at the right time, the ubicomp community can benefit greatly from learning the most salient human measures of cognitive load. Cognitive load...
Eija Haapalainen, Seungjun Kim, Jodi Forlizzi, Ani...
ICML
2010
IEEE
15 years 28 days ago
Deep Supervised t-Distributed Embedding
Deep learning has been successfully applied to perform non-linear embedding. In this paper, we present supervised embedding techniques that use a deep network to collapse classes....
Martin Renqiang Min, Laurens van der Maaten, Zinen...
SIGMOD
2010
ACM
249views Database» more  SIGMOD 2010»
15 years 1 days ago
Worry-free database upgrades: automated model-driven evolution of schemas and complex mappings
Schema evolution is an unavoidable consequence of the application development lifecycle. The two primary schemas in an application, the client conceptual object model and the pers...
James F. Terwilliger, Philip A. Bernstein, Adi Unn...