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PREMI
2005
Springer
13 years 10 months ago
2005
Springer
The work proposes a hierarchical architecture for learning amic scenes at various levels of knowledge abstraction. The raw visual information is processed at different stages to g...
PREMI
2005
Springer
13 years 10 months ago
2005
Springer
Frequent Pattern Mining (FPM) is a very powerful paradigm for mining informative and useful patterns in massive, complex datasets. In this paper we propose the Data Mining Template...
PREMI
2005
Springer
13 years 10 months ago
2005
Springer
With the advent of efficient techniques for multi-objective evolutionary optimization (EMO), real-world search and optimization problems are being increasingly solved for mulitple ...
PREMI
2005
Springer
13 years 10 months ago
2005
Springer
We address the problem of fusing sparse and noisy depth data obtained from a range finder with features obtained from intensity images to estimate ego-motion and refine 3D struct...
PREMI
2005
Springer
13 years 10 months ago
2005
Springer
In the typical nonparametric approach to classification in instance-based learning and data mining, random data (the training set of patterns) are collected and used to design a d...