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» On the Learnability of Vector Spaces
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DASFAA
2009
IEEE
133views Database» more  DASFAA 2009»
14 years 2 months ago
Probabilistic Ranking in Uncertain Vector Spaces
Abstract. In many application domains, e.g. sensor databases, traffic management or recognition systems, objects have to be compared based on positionally and existentially uncert...
Thomas Bernecker, Hans-Peter Kriegel, Matthias Ren...
MICAI
2007
Springer
14 years 1 months ago
A New Hybrid Summarizer Based on Vector Space Model, Statistical Physics and Linguistics
In this article we present a hybrid approach for automatic summarization of Spanish medical texts. There are a lot of systems for automatic summarization using statistics or lingui...
Iria da Cunha, Silvia Fernández, Patricia V...
JMIV
2010
115views more  JMIV 2010»
13 years 5 months ago
Image and Video Colorization Using Vector-Valued Reproducing Kernel Hilbert Spaces
Motivated by the setting of reproducing kernel Hilbert space (RKHS) and its extensions considered in machine learning, we propose an RKHS framework for image and video colorizatio...
Minh Ha Quang, Sung Ha Kang, Triet M. Le
LREC
2008
102views Education» more  LREC 2008»
13 years 8 months ago
Towards a Vector Space Model for FrameNet-like Resources
In this paper, we present an original framework to model frame semantic resources (namely, FrameNet) using minimal supervision. This framework can be leveraged both to expand an e...
Marco Pennacchiotti, Diego De Cao, Paolo Marocco, ...
DEXA
2006
Springer
138views Database» more  DEXA 2006»
13 years 11 months ago
A Vector Space Model for Semantic Similarity Calculation and OWL Ontology Alignment
Ontology alignment (or matching) is the operation that takes two ontologies and produces a set of semantic correspondences (usually semantic similarities) between some elements of ...
Rubén Tous, Jaime Delgado