Browsing by Title
Now showing items 43043-43062 of 77475
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O cessate di piagarmi
(1979-12-01) -
O Lamm Gottes unschuldig, S. 656
(1980-04-20) -
O Lieber Herre Gott
(1978-04-25) -
O mistress mine
(1982-10-05) -
O primavera
(1980-02-02) -
O ROSA BELLA Songs and Instrumental Music from the 15th Century Friday, October 20, 1989 8:00 p.m. in the Rice Memorial Chapel
(1989-10-20)PROGRAM: O rosa bella / the original song by John Bedyngham -- A trio by "Hert" -- A version from the Glogauer partbooks -- Two anonymous settings -- A version by Johannes Ockeghem -- A setting by Johnnes Ciaconia -- An arrangement for organ -- O rosa bella. Mass for three voices -- Grand finale: the original song with added instrumental accompaniment -
O Waly, Waly
(1979-04-07) -
O' Grady 'Debunks' The Rice Myth
(1963-02-13) -
O' KELLY CHOSEN QUEEN, WILL RICE WINS RACE
(1959-05-08) -
O. O. DEAN IS NEW N. S. PROF
(1958-11-14) -
OA (On Assumption) We'll Take Rice . . .
(1960-09-23) -
Oak Cliff High School newsclippings
(1918) -
Oasis in the Wasteland: A factory for production of plastic amusement and modern convenience
(1992)The idea of the Wasteland is a potent metaphor within architecture for urban and social decay. Le Corbusier's project for a City of Tomorrow, an idealized place of industrial production, exemplifies attempts by architects to define an architecture of production within the Wasteland. The project illustrates difficulties inherent in creation of ... -
OASIS: A hydrogeologic database and a graphical, hypertext decision support system for groundwater contaminant modeling
(1989)A Decision Support System is a class of computer software with information, databases, and computer models integrated together to help people solve broad, semi- structured problems. Ground water contaminant transport modeling is an example of this type of problem, and a new decision support system, OASIS, was developed to make ground water modeling ... -
oASIS: Adaptive Column Sampling for Kernel Matrix Approximation
(2015-04-21)Kernel or similarity matrices are essential for many state-of-the-art approaches to classification, clustering, and dimensionality reduction. For large datasets, the cost of forming and factoring such kernel matrices becomes intractable. To address this challenge, we introduce a new adaptive sampling algorithm called Accelerated Sequential Incoherence ...