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ICPR
2008
IEEE
14 years 10 months ago
A new HMM training and testing scheme
One of disadvantages of Hidden Markov Models (HMMs) is its low resistance to unexpected noises among observation sequences. Unexpected noises in a sequence usually "break&quo...
Albert Hung-Ren Ko, Alceu de Souza Britto Jr., Rob...
SIGMOD
2009
ACM
190views Database» more  SIGMOD 2009»
14 years 9 months ago
DataLens: making a good first impression
When a database query has a large number of results, the user can only be shown one page of results at a time. One popular approach is to rank results such that the "best&quo...
Bin Liu, H. V. Jagadish
JIT
2004
Springer
131views Database» more  JIT 2004»
14 years 2 months ago
Agile Software Engineering: A New System for an Expanding Business Model at SCHUFA
A software development unit called to renew or replace an existing corporate system may face some special problems in an established company with a lot of well-trained behavioral p...
Rainer Burkhardt, Volker Gruhn
ISCA
1993
IEEE
137views Hardware» more  ISCA 1993»
14 years 1 months ago
Transactional Memory: Architectural Support for Lock-Free Data Structures
A shared data structure is lock-free if its operations do not require mutual exclusion. If one process is interrupted in the middle of an operation, other processes will not be pr...
Maurice Herlihy, J. Eliot B. Moss
TSP
2010
13 years 4 months ago
Gaussian multiresolution models: exploiting sparse Markov and covariance structure
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...