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NAR
2006
164views more  NAR 2006»
13 years 7 months ago
FISH - family identification of sequence homologues using structure anchored hidden Markov models
The FISH server is highly accurate in identifying the family membership of domains in a query protein sequence, even in the case of very low sequence identities to known homologue...
Jeanette Tångrot, Lixiao Wang, Bo Kågs...
BMCBI
2007
142views more  BMCBI 2007»
13 years 7 months ago
Support Vector Machine-based method for predicting subcellular localization of mycobacterial proteins using evolutionary informa
Background: In past number of methods have been developed for predicting subcellular location of eukaryotic, prokaryotic (Gram-negative and Gram-positive bacteria) and human prote...
Mamoon Rashid, Sudipto Saha, Gajendra P. S. Raghav...
PERCOM
2009
ACM
14 years 2 months ago
A Distributed k-Anonymity Protocol for Location Privacy
To benefit from a location-based service, a person must reveal her location to the service. However, knowing the person’s location might allow the service to re-identify the pe...
Ge Zhong, Urs Hengartner
IPL
2008
61views more  IPL 2008»
13 years 7 months ago
Online chasing problems for regular polygons
We consider a server location problem with only one server to move. In this paper we assume that a request is given as a region and that the service can be done anywhere inside th...
Hiroshi Fujiwara, Kazuo Iwama, Kouki Yonezawa
BSN
2009
IEEE
140views Sensor Networks» more  BSN 2009»
14 years 2 months ago
A Distributed Hidden Markov Model for Fine-grained Annotation in Body Sensor Networks
—Human movement models often divide movements into parts. In walking the stride can be segmented into four different parts, and in golf and other sports, the swing is divided int...
Eric Guenterberg, Hassan Ghasemzadeh, Roozbeh Jafa...