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» On the Learnability of Vector Spaces
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TCS
2008
13 years 8 months ago
Learning recursive functions: A survey
Studying the learnability of classes of recursive functions has attracted considerable interest for at least four decades. Starting with Gold's (1967) model of learning in th...
Thomas Zeugmann, Sandra Zilles
IVC
2007
94views more  IVC 2007»
13 years 8 months ago
Vector quantization and fuzzy ranks for image reconstruction
The problem of clustering is often addressed with techniques based on a Voronoi partition of the data space. Vector quantization is based on a similar principle, but it is a diffe...
Stefano Rovetta, Francesco Masulli
ICDM
2007
IEEE
137views Data Mining» more  ICDM 2007»
14 years 2 months ago
Locally Constrained Support Vector Clustering
Support vector clustering transforms the data into a high dimensional feature space, where a decision function is computed. In the original space, the function outlines the bounda...
Dragomir Yankov, Eamonn J. Keogh, Kin Fai Kan
ICCV
2005
IEEE
14 years 10 months ago
Vector Boosting for Rotation Invariant Multi-View Face Detection
In this paper, we propose a novel tree-structured multi-view face detector (MVFD), which adopts the coarse-to-fine strategy to divide the entire face space into smaller and smalle...
Chang Huang, Haizhou Ai, Yuan Li, Shihong Lao
INEX
2004
Springer
14 years 1 months ago
A Universal Model for XML Information Retrieval
This paper presents an approach for extending the vector space model (VSM) to perform XML retrieval. The model is extended to support important aspects of XML structural and semant...
Maria Izabel Menezes Azevedo, Lucas Pantuza Amorim...