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ICMLA
2008
14 years 11 months ago
Probabilistic Exploitation of the Lucas and Kanade Smoothness Constraint
The basic idea of Lucas and Kanade is to constrain the local motion measurement by assuming a constant velocity within a spatial neighborhood. We reformulate this spatial constrai...
Volker Willert, Julian Eggert, Marc Toussaint, Edg...
IPPS
2007
IEEE
15 years 4 months ago
Modeling of NAMD's Network Input/Output on Large PC Clusters
This study examined the interplay among processor speed, cluster interconnect and file I/O, using parallel applications to quantify interactions. We focused on a common case wher...
Nancy Tran, Daniel A. Reed
ICDM
2006
IEEE
183views Data Mining» more  ICDM 2006»
15 years 3 months ago
Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
Arpit Mathur, Soumen Chakrabarti
FTDCS
1999
IEEE
15 years 2 months ago
Lessons Learned from Building a Web-Based Spatial Data Discovery Facility
This paper discusses the lessons learned and decisions made while designing and developing a web-based application for the National Spatial Information Framework (NSIF) of South A...
Ferdie Danzfuss, Judith Bishop
IPPS
1998
IEEE
15 years 2 months ago
Eliminating the Protocol Stack for Socket Based Communication in Shared Memory Interconnects
We show how the traditional protocol stack, such as TCP/IP, can be eliminated for socket based high speed communication within a cluster. The SCI shared memory interconnect is used...
Stein Jørgen Ryan, Haakon Bryhni