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MMM
2005
Springer
202views Multimedia» more  MMM 2005»
15 years 8 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
119
Voted
ESANN
2006
15 years 3 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 3 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 2 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»
15 years 11 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