468 search results - page 86 / 94 » Optimization of in-network data reduction |
MM
2010
ACM
13 years 10 months ago
2010
ACM
This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...
BIBE
2007
IEEE
14 years 4 months ago
2007
IEEE
Abstract—Because of the advent of high-throughput sequencing and the consequent reduction in cost of sequencing, many organisms have been completely sequenced and most of their g...
MM
2005
ACM
14 years 3 months ago
2005
ACM
We consider the problem of image representation and clustering. Traditionally, an n1 × n2 image is represented by a vector in the Euclidean space Rn1×n2 . Some learning algorith...
EOR
2007
13 years 9 months ago
2007
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
DAC
2002
ACM
14 years 10 months ago
2002
ACM
The design of high-throughput large-state Viterbi decoders relies on the use of multiple arithmetic units. The global communication channels among these parallel processors often ...