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  • Search Results for 'Unite Departmen Offic'

1. Name and Title of Requestor1a. Agency/Department Name2. Phone3.
1. Name and Title of Requestor1a. Agency/Department Name2. Phone3.
lois-ondreau
Common bonds unite the lives of those affectedby MPS and related disea
Common bonds unite the lives of those affectedby MPS and related disea
karlyn-bohler
Recovering lost pots is a joint eortIn 2009, the Washington Departmen
Recovering lost pots is a joint eortIn 2009, the Washington Departmen
conchita-marotz
Finding Optimal Solutions to Rubiks Cube Using pattern Database
Finding Optimal Solutions to Rubiks Cube Using pattern Database
tawny-fly
Thelanguagemachine:PsycholinguisticsinreviewGerryT.M.Altmann*Departmen
Thelanguagemachine:PsycholinguisticsinreviewGerryT.M.Altmann*Departmen
kittie-lecroy
Sto hastic Co ering and Adaptivit Mic hel Go emans and Jan ondr ak Departmen of Mathematics
Sto hastic Co ering and Adaptivit Mic hel Go emans and Jan ondr ak Departmen of Mathematics
faustina-dinatale
DielectricrelaxationoftheextendedhydrationsheatheofDNAintheTHzfrequenc
DielectricrelaxationoftheextendedhydrationsheatheofDNAintheTHzfrequenc
tawny-fly
arrangement
arrangement
pamella-moone
NEW APPR CH TO EXPER SYSTEM EXPLANA TIONS ReginaBarzila DarylMcCullough Ow en Ram bo JonathanDeCristofaro
NEW APPR CH TO EXPER SYSTEM EXPLANA TIONS ReginaBarzila DarylMcCullough Ow en Ram bo JonathanDeCristofaro
pamella-moone
T AgrononMst AirronomAst ^y}reat Jnrestmtion., Office Im-estmtwn., Bu
T AgrononMst AirronomAst ^y}reat Jnrestmtion., Office Im-estmtwn., Bu
natalia-silvester
Mac hine learning for highsp eed corner detection Edw ard Rosten and om Drummond Departmen
Mac hine learning for highsp eed corner detection Edw ard Rosten and om Drummond Departmen
conchita-marotz
Mac hine learning for highsp eed corner detection Edw ard Rosten and om Drummond Departmen
Mac hine learning for highsp eed corner detection Edw ard Rosten and om Drummond Departmen
marina-yarberry
SIGN DETECTION IN NA TU RAL IM GES WITH CONDITIONAL RANDOM FIELDS Jero einman Allen Hanson
SIGN DETECTION IN NA TU RAL IM GES WITH CONDITIONAL RANDOM FIELDS Jero einman Allen Hanson
min-jolicoeur
SIGN DETECTION IN NA TU RAL IM GES WITH CONDITIONAL RANDOM FIELDS Jero einman Allen Hanson
SIGN DETECTION IN NA TU RAL IM GES WITH CONDITIONAL RANDOM FIELDS Jero einman Allen Hanson
yoshiko-marsland
AHighP erformanceSparseCholeskyF actorizationAlgorithmF or ScalableP arallelComputers
AHighP erformanceSparseCholeskyF actorizationAlgorithmF or ScalableP arallelComputers
danika-pritchard
SIGN DETECTION IN NA TU RAL IM GES WITH CONDITIONAL RANDOM FIELDS Jero einman Allen Hanson
SIGN DETECTION IN NA TU RAL IM GES WITH CONDITIONAL RANDOM FIELDS Jero einman Allen Hanson
jane-oiler
By Stuart Sherriff, Research Officer SARDI, Mick Lines, Research Offic
By Stuart Sherriff, Research Officer SARDI, Mick Lines, Research Offic
sherrill-nordquist
ORGANISATIONAL SET UP FOR REDRESS OF PUBLIC GRIEVANCES INThe Departmen
ORGANISATIONAL SET UP FOR REDRESS OF PUBLIC GRIEVANCES INThe Departmen
olivia-moreira
Question-1: What is SANKALP? Answer: It is an initiative of Departmen
Question-1: What is SANKALP? Answer: It is an initiative of Departmen
phoebe-click
Offic o th Comptrolle o th Currenc y Boar o Governor o th Federa Reserv Syste m Federa
Offic o th Comptrolle o th Currenc y Boar o Governor o th Federa Reserv Syste m Federa
giovanna-bartolotta
OilEd 3.4 Manual Sean Bechhofer Information Management Group Departmen
OilEd 3.4 Manual Sean Bechhofer Information Management Group Departmen
luanne-stotts
Lectures on Dynamic Systems and Con trol Mohammed Dahleh Mun ther A
Lectures on Dynamic Systems and Con trol Mohammed Dahleh Mun ther A
tawny-fly
Automated Detection of Outliers in Real-World Data Mark Last Departmen
Automated Detection of Outliers in Real-World Data Mark Last Departmen
luanne-stotts
Lectures on Dynamic Systems and Con trol Mohammed Dahleh Mun ther A
Lectures on Dynamic Systems and Con trol Mohammed Dahleh Mun ther A
alida-meadow