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PAMI
2006
117views more  PAMI 2006»
15 years 4 months ago
Metric Learning for Text Documents
High dimensional structured data such as text and images is often poorly understood and misrepresented in statistical modeling. The standard histogram representation suffers from ...
Guy Lebanon
ILP
2005
Springer
15 years 9 months ago
Classifying Relational Data with Neural Networks
We introduce a novel method for relational learning with neural networks. The contributions of this paper are threefold. First, we introduce the concept of relational neural networ...
Werner Uwents, Hendrik Blockeel
VLDB
1991
ACM
196views Database» more  VLDB 1991»
15 years 7 months ago
Kaleidoscope Data Model for An English-like Query Language
Most database interfaces provide poor guidance on ad hoc query formulation, burdening users to learn, and to recall precisely the query language and the database. Kaleidoscope avo...
Sang Kyun Cha, Gio Wiederhold
ICDAR
1999
IEEE
15 years 8 months ago
Cursive Character Detection using Incremental Learning
This paper describes a new hybrid architecture for an artificial neural network classifier that enables incremental learning. The learning algorithm of the proposed architecture d...
Jean-François Hébert, Marc Parizeau,...
DMIN
2006
122views Data Mining» more  DMIN 2006»
15 years 5 months ago
Clustering of Bi-Dimensional and Heterogeneous Time Series: Application to Social Sciences Data
We present an application of bi-dimensional and heterogeneous time series clustering in order to resolve a Social Sciences issue. The dataset is the result of a survey involving mo...
Rémi Gaudin, Sylvaine Barbier, Nicolas Nico...