Zobrazeno 1 - 10
of 899
pro vyhledávání: '"KASHYAP, R. L."'
Autor:
R. Johnson
Publikováno v:
IEEE Transactions on Information Theory. 25:129-132
The above \fbox{paper\1}% proposes a method for choosing prior probability distributions by finding the rain-max of an uncertainty functional that obeys certain axioms. Several functionals are exhibited here that obey the axioms, but do not belong to
Autor:
Utgoff, V. A., Kashyap, R. L.
Publikováno v:
SIAM Journal on Applied Mathematics, 1972 Jun 01. 22(4), 648-664.
Externí odkaz:
https://www.jstor.org/stable/2099701
Autor:
Utgoff, V. A., Kashyap, R. L.
Publikováno v:
SIAM Journal on Applied Mathematics, 1972 Jun 01. 22(4), 665-675.
Externí odkaz:
https://www.jstor.org/stable/2099702
Autor:
Johnson, R.
Publikováno v:
IEEE Transactions on Information Theory; 1979, Vol. 25 Issue 1, p129-132, 4p
Autor:
LAKSHMI-BAI, C., KASHYAP, R. L.
Publikováno v:
Current Science, 1961 Oct 01. 30(10), 366-369.
Externí odkaz:
https://www.jstor.org/stable/24214781
Autor:
Davis, William W.1
Publikováno v:
Journal of the American Statistical Association. Dec77, Vol. 72 Issue 360, p927. 2p.
Autor:
Shyu, Mei-Ling, Kashyap, R. L.
Publikováno v:
Department of Electrical and Computer Engineering Technical Reports
A good multirmedia database managerment systerm (MDBMS) should be able to store, retrieve, and manage rich semantic data in multimedia database syst,ems. Due to the complexity of real-world applications, the number of databases and the volumes of dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______540::724680fbe22c61b58915b55112a0c418
http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1044&context=ecetr
http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1044&context=ecetr
Autor:
Chen, Shu-Ching, Kashyap, R. L.
Publikováno v:
Department of Electrical and Computer Engineering Technical Reports
As more information sources become available in multimedia systems, the development of abstract semantic models for video, audio, text, and image data becomes very important. An abstract semantic model has two requirements. First, it should be rich e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______540::c42c5785d14866032f97265b3b24d986
http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1062&context=ecetr
http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1062&context=ecetr
Autor:
Kashyap, R. L., Sista, Srinivas
Publikováno v:
Department of Electrical and Computer Engineering Technical Reports
We have given a solution to the problem of unsupervised classifica,tioll of multidinlensional data. Our approach is based on Bayesian estimation which regards the number of classes, the data partition and the parameter vectors that describe the densi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______540::4fdf64c2d29aa049aeada890f0902b0a
http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1059&context=ecetr
http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1059&context=ecetr