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» Comparing distributions and shapes using the kernel distance
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KDD
2010
ACM
249views Data Mining» more  KDD 2010»
15 years 2 months ago
Semi-supervised sparse metric learning using alternating linearization optimization
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, ...
93
Voted
CLUSTER
2002
IEEE
15 years 5 months ago
High Performance User Level Sockets over Gigabit Ethernet
While a number of User-Level Protocols have been developed to reduce the gap between the performance capabilities of the physical network and the performance actually available, a...
Pavan Balaji, Piyush Shivam, Pete Wyckoff, Dhabale...
MIAR
2010
IEEE
14 years 11 months ago
Marker-Free Registration for Electromagnetic Navigation Bronchoscopy under Respiratory Motion
Abstract. Electromagnetic navigation bronchoscopy requires the accurate registration of a preinterventional computed tomography (CT) image to the coordinate system of the electroma...
Marco Feuerstein, Takamasa Sugiura, Daisuke Deguch...
ICVS
2009
Springer
14 years 10 months ago
Boosting with a Joint Feature Pool from Different Sensors
This paper introduces a new way to apply boosting to a joint feature pool from different sensors, namely 3D range data and color vision. The combination of sensors strengthens the ...
Dominik Alexander Klein, Dirk Schulz, Simone Frint...
96
Voted
HPCA
1997
IEEE
15 years 4 months ago
ATM and Fast Ethernet Network Interfaces for User-Level Communication
Fast Ethernet and ATM are two attractive network technologies for interconnecting workstation clusters for parallel and distributed computing. This paper compares network interfac...
Matt Welsh, Anindya Basu, Thorsten von Eicken