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MMM
2005
Springer
202views Multimedia» more  MMM 2005»
15 years 11 months ago
Image Mining and Retrieval Using Hierarchical Support Vector Machines
For some time now, image retrieval approaches have been developed that use low-level features, such as colour histograms, edge distributions and texture measures. What has been la...
Ross Brown, Binh Pham
ESANN
2006
15 years 7 months ago
Evolino for recurrent support vector machines
Abstract. We introduce a new class of recurrent, truly sequential SVM-like devices with internal adaptive states, trained by a novel method called EVOlution of systems with KErnel-...
Jürgen Schmidhuber, Matteo Gagliolo, Daan Wie...

Publication
103views
15 years 7 months ago
How to Use Vectors for Representing Ground Expressions in the Implementations of the Language Refal
Most implementations of the language Refal represent ground expressions by doubly-linked lists, which results in low-cost concatenation. On the other hand, that representation nece...
Sergei M. Abramov, Sergei A. Romanenko
GEOINFORMATICA
2002
84views more  GEOINFORMATICA 2002»
15 years 5 months ago
Simultaneous Graphic Generalization of Vector Data Sets
Manual cartographic generalization is a simultaneous process. However, most automatic approaches so far have been sequential; generalization operators are applied one at a time in...
Lars Harrie, Tapani Sarjakoski
SDM
2009
SIAM
119views Data Mining» more  SDM 2009»
16 years 3 months ago
Twin Vector Machines for Online Learning on a Budget.
This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
Zhuang Wang, Slobodan Vucetic