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DEXA
2006
Springer
138views Database» more  DEXA 2006»
15 years 5 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
SGP
2007
15 years 4 months ago
Fast normal vector compression with bounded error
We present two methods for lossy compression of normal vectors through quantization using "base" polyhedra. The first revisits subdivision-based quantization. The second...
Eric J. Griffith, Michal Koutek, Frits H. Post
NIPS
2001
15 years 2 months ago
Dynamic Time-Alignment Kernel in Support Vector Machine
A new class of Support Vector Machine (SVM) that is applicable to sequential-pattern recognition such as speech recognition is developed by incorporating an idea of non-linear tim...
Hiroshi Shimodaira, K.-I. Noma, Mitsuru Nakai, Shi...
VMV
2004
100views Visualization» more  VMV 2004»
15 years 2 months ago
Vector Quantization Based Data Selection for Hand-Eye Calibration
The paper presents a new vector quantization based approach for selecting well-suited data for hand-eye calibration from a given sequence of hand and eye movements. Data selection...
Jochen Schmidt, Florian Vogt, Heinrich Niemann
NIPS
1998
15 years 2 months ago
Dynamically Adapting Kernels in Support Vector Machines
The kernel-parameter is one of the few tunable parameters in Support Vector machines, controlling the complexity of the resulting hypothesis. Its choice amounts to model selection...
Nello Cristianini, Colin Campbell, John Shawe-Tayl...