358 search results - page 48 / 72 » Learning from labeled and unlabeled data on a directed graph |
125
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ICPR
2006
IEEE
16 years 28 days ago
2006
IEEE
Localizing objects in images is a difficult task and represents the first step to the solution of the object recognition problem. This paper presents a novel approach to the local...
CPM
2004
Springer
15 years 5 months ago
2004
Springer
We describe a new technique for reducing the number of nodes and symbols in automata based on tries. The technique stems from some results on anti-dictionaries for data compression...
CORR
2010
Springer
14 years 12 months ago
2010
Springer
Given a directed acyclic graph with labeled vertices, we consider the problem of finding the most common label sequences ("traces") among all paths in the graph (of some...
134
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TIP
2010
14 years 6 months ago
2010
We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
KDD
2003
ACM
16 years 6 days ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...