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PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
13 years 7 months ago
Learning an Affine Transformation for Non-linear Dimensionality Reduction
The foremost nonlinear dimensionality reduction algorithms provide an embedding only for the given training data, with no straightforward extension for test points. This shortcomin...
Pooyan Khajehpour Tadavani, Ali Ghodsi
ICRA
2007
IEEE
140views Robotics» more  ICRA 2007»
14 years 4 months ago
Recognising and Modelling Landmarks to Close Loops in Outdoor SLAM
Abstract— In this paper, simultaneous localisation and mapping (SLAM) is combined with landmark recognition to close large loops in unstructured, outdoor environments. Camera and...
Fabio T. Ramos, Juan Nieto, Hugh F. Durrant-Whyte
SDM
2007
SIAM
108views Data Mining» more  SDM 2007»
13 years 11 months ago
Semi-Supervised Dimensionality Reduction
Dimensionality reduction is among the keys in mining highdimensional data. This paper studies semi-supervised dimensionality reduction. In this setting, besides abundant unlabeled...
Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
VLDB
2000
ACM
229views Database» more  VLDB 2000»
14 years 1 months ago
Local Dimensionality Reduction: A New Approach to Indexing High Dimensional Spaces
Many emerging application domains require database systems to support efficient access over highly multidimensional datasets. The current state-of-the-art technique to indexing hi...
Kaushik Chakrabarti, Sharad Mehrotra
CIARP
2011
Springer
12 years 9 months ago
Sentiment-Preserving Reduction for Social Media Analysis
Abstract. In this paper, we address the problem of opinion analysis using a probabilistic approach to the underlying structure of different types of opinions or sentiments around ...
Sergio Hernández, Philip Sallis