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» Distance Learning for Similarity Estimation
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KDD
2004
ACM
182views Data Mining» more  KDD 2004»
15 years 10 months ago
Rotation invariant distance measures for trajectories
For the discovery of similar patterns in 1D time-series, it is very typical to perform a normalization of the data (for example a transformation so that the data follow a zero mea...
Michail Vlachos, Dimitrios Gunopulos, Gautam Das
65
Voted
ICRA
2007
IEEE
158views Robotics» more  ICRA 2007»
15 years 4 months ago
Mini-SLAM: Minimalistic Visual SLAM in Large-Scale Environments Based on a New Interpretation of Image Similarity
— This paper presents a vision-based approach to SLAM in large-scale environments with minimal sensing and computational requirements. The approach is based on a graphical repres...
Henrik Andreasson, Tom Duckett, Achim J. Lilientha...
ADC
1999
Springer
68views Database» more  ADC 1999»
15 years 1 months ago
A Query-sensitive Cost Model for Similarity Queries with M-tree
We introduce a cost model for the M-tree access method [Ciaccia et al., 1997] which provides estimates of CPU (distance computations) and I/O costs for the execution of similarity ...
Paolo Ciaccia, A. Nanni, Marco Patella
ICASSP
2011
IEEE
14 years 1 months ago
Polytope kernel density estimates on Delaunay graphs
We present a polytope-kernel density estimation (PKDE) methodology that allows us to perform exact mean-shift updates along the edges of the Delaunay graph of the data. We discuss...
Erhan Bas, Deniz Erdogmus
81
Voted
PKDD
2009
Springer
181views Data Mining» more  PKDD 2009»
15 years 4 months ago
Active Learning for Reward Estimation in Inverse Reinforcement Learning
Abstract. Inverse reinforcement learning addresses the general problem of recovering a reward function from samples of a policy provided by an expert/demonstrator. In this paper, w...
Manuel Lopes, Francisco S. Melo, Luis Montesano