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» On the Learnability of Vector Spaces
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ICIP
2003
IEEE
15 years 11 months ago
On the reconstruction of an image from its moments
Abstract--An image can be seen as an element of a vector space so that it can be expressed in terms of a series expansion of any non necessarily orthogonal base of this space. This...
Federico Thomas, Judit Martinez
ICIAP
2009
ACM
15 years 10 months ago
A New Generative Feature Set Based on Entropy Distance for Discriminative Classification
Abstract. Score functions induced by generative models extract fixeddimensions feature vectors from different-length data observations by subsuming the process of data generation, ...
Alessandro Perina, Marco Cristani, Umberto Castell...
STOC
2002
ACM
140views Algorithms» more  STOC 2002»
15 years 10 months ago
Finding nearest neighbors in growth-restricted metrics
Most research on nearest neighbor algorithms in the literature has been focused on the Euclidean case. In many practical search problems however, the underlying metric is non-Eucl...
David R. Karger, Matthias Ruhl
IJCNN
2007
IEEE
15 years 4 months ago
Text Representations for Text Categorization: A Case Study in Biomedical Domain
— In vector space model (VSM), textual documents are represented as vectors in the term space. Therefore, there are two issues in this representation, i.e. (1) what should a term...
Man Lan, Chew Lim Tan, Jian Su, Hwee-Boon Low
IDEAL
2005
Springer
15 years 3 months ago
Bearing Similarity Measures for Self-organizing Feature Maps
The neural representation of space in rats has inspired many navigation systems for robots. In particular, Self-Organizing (Feature) Maps (SOM) are often used to give a sense of lo...
Narongdech Keeratipranon, Frédéric M...