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» On Abstraction in Scenarios
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KDD
2010
ACM
249views Data Mining» more  KDD 2010»
15 years 3 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, ...
WWW
2007
ACM
16 years 2 months ago
OntoWiki: A Tool for Social, Semantic Collaboration
Abstract We present OntoWiki, a tool providing support for agile, distributed knowledge engineering scenarios. OntoWiki facilitates the visual presentation of a knowledge base as a...
Jens Lehmann, Sören Auer, Sebastian Dietzold,...
CODES
2008
IEEE
15 years 7 months ago
Distributed flit-buffer flow control for networks-on-chip
The combination of flit-buffer flow control methods and latency-insensitive protocols is an effective solution for networks-on-chip (NoC). Since they both rely on backpressure...
Nicola Concer, Michele Petracca, Luca P. Carloni
TSP
2010
14 years 8 months ago
Channel energy based estimation of target trajectories using distributed sensors with low communication rate
Abstract--Sensor localization using channel energy measurements of distributed sensors has been studied in various scenarios. However, it is usually assumed that the target does no...
Christian R. Berger, Sora Choi, Shengli Zhou, Pete...
ECCV
2010
Springer
15 years 6 months ago
Handling Urban Location Recognition as a 2D Homothetic Problem
Abstract. We address the problem of large scale place-of-interest recognition in cell phone images of urban scenarios. Here, we go beyond what has been shown in earlier approaches ...