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IJCNN
2000
IEEE
15 years 11 months ago
Metrics that Learn Relevance
We introduce an algorithm for learning a local metric to a continuous input space that measures distances in terms of relevance to the processing task. The relevance is defined a...
Samuel Kaski, Janne Sinkkonen
IPPS
1999
IEEE
15 years 11 months ago
Metrics for the Evaluation of Multicast Communications
In the distributed shipboard environment of interest to the United States Navy, there is an increasing interest in the use of multicast communications to reduce bandwidth consumpti...
Philip M. Irey IV, David T. Marlow
DAGM
1998
Springer
15 years 11 months ago
Discrete Mixture Models for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
HPDC
1996
IEEE
15 years 11 months ago
Collecting and Modeling the Join/Leave Behavior of Multicast Group Members in the MBone
One purpose of the MBone is to study the performance of multicast and real-time protocols in global conferencing applications. Part of this evaluation is dependent on understandin...
Kevin C. Almeroth, Mostafa H. Ammar
ASAP
2004
IEEE
124views Hardware» more  ASAP 2004»
15 years 10 months ago
Biosequence Similarity Search on the Mercury System
Biosequence similarity search is an important application in modern molecular biology. Search algorithms aim to identify sets of sequences whose extensional similarity suggests a c...
Praveen Krishnamurthy, Jeremy Buhler, Roger D. Cha...