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193
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ICML
2008
IEEE
16 years 7 months ago
Graph kernels between point clouds
Point clouds are sets of points in two or three dimensions. Most kernel methods for learning on sets of points have not yet dealt with the specific geometrical invariances and pra...
Francis R. Bach
ICML
2005
IEEE
16 years 7 months ago
Object correspondence as a machine learning problem
We propose machine learning methods for the estimation of deformation fields that transform two given objects into each other, thereby establishing a dense point to point correspo...
Bernhard Schölkopf, Florian Steinke, Volker B...
196
Voted
ICML
2002
IEEE
16 years 7 months ago
Kernels for Semi-Structured Data
Semi-structured data such as XML and HTML is attracting considerable attention. It is important to develop various kinds of data mining techniques that can handle semistructured d...
Hisashi Kashima, Teruo Koyanagi
175
Voted
PERCOM
2005
ACM
16 years 6 months ago
Autonomous Localization Method in Wireless Sensor Networks
In wireless sensor networks, localization systems use data from sensors which receive signals from moving targets, measure RSSI, and translate RSSI into the distance between senso...
Yoshikazu Ohta, Masashi Sugano, Masayuki Murata
204
Voted
EWSN
2004
Springer
16 years 6 months ago
A Novel Mechanism for Routing in Highly Mobile ad hoc Sensor Networks
This paper describes a novel routing mechanism for a network of highly mobile sensor nodes that routes data over dynamically changing topologies, using only information from neares...
Jane Tateson, Ian W. Marshall
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