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» INSPIRE: A New Method of Mapping Information Spaces
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ACIVS
2008
Springer
15 years 4 months ago
Blur and Contrast Invariant Fast Stereo Matching
We propose a novel approach for estimating a depth-map from a pair of rectified stereo images degraded by blur and contrast change. At each location in image space, information is...
Matteo Pedone, Janne Heikkilä
ICMLA
2008
14 years 11 months ago
Basis Function Construction in Reinforcement Learning Using Cascade-Correlation Learning Architecture
In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
Sertan Girgin, Philippe Preux
MICCAI
1999
Springer
15 years 2 months ago
Analysis of Functional MRI Data Using Mutual Information
Abstract. A new information-theoretic approach is presented for analyzing fMRI data to calculate the brain activation map. The method is based on a formulation of the mutualinforma...
Andy Tsai, John W. Fisher III, Cindy Wible, Willia...
PAKDD
2009
ACM
186views Data Mining» more  PAKDD 2009»
15 years 4 months ago
Pairwise Constrained Clustering for Sparse and High Dimensional Feature Spaces
Abstract. Clustering high dimensional data with sparse features is challenging because pairwise distances between data items are not informative in high dimensional space. To addre...
Su Yan, Hai Wang, Dongwon Lee, C. Lee Giles
KCAP
2003
ACM
15 years 3 months ago
Aiding knowledge capture by searching for extensions of knowledge models
Electronic concept mapping tools empower experts to play an active role in the knowledge capture process, and provide a medium for building richly connected multimedia knowledge m...
David B. Leake, Ana Gabriela Maguitman, Thomas Rei...