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ICIP
2010
IEEE
14 years 8 months ago
Building Emerging Pattern (EP) Random forest for recognition
The Random forest classifier comes to be the working horse for visual recognition community. It predicts the class label of an input data by aggregating the votes of multiple tree...
Liang Wang, Yizhou Wang, Debin Zhao
ICPR
2006
IEEE
15 years 11 months ago
Gaussian mixture pdf in one-class classification: computing and utilizing confidence values
In this study a confidence measure for probability density functions (pdfs) is presented. The measure can be used in one-class classification to select a pdf threshold for class i...
Jarmo Ilonen, Pekka Paalanen, Joni-Kristian Kamara...
WWW
2006
ACM
15 years 10 months ago
Tables and trees don't mix (very well)
There are principal differences between the relational model and XML's tree model. This causes problems in all cases where information from these two worlds has to be brought...
Erik Wilde
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
15 years 4 months ago
A multi-objective approach for the prediction of loan defaults
Credit institutions are seldom faced with problems dealing with single objectives. Often, decisions involving optimizing two or more competing goals simultaneously need to be made...
Oluwarotimi Odeh, Praveen Koduru, Sanjoy Das, Alle...
ISCAS
2006
IEEE
107views Hardware» more  ISCAS 2006»
15 years 4 months ago
Assessment of probability density estimation methods: Parzen window and finite Gaussian mixtures
—Probability Density Function (PDF) estimation is a very critical task in many applications of data analysis. For example in the Bayesian framework decisions are taken according ...
Cédric Archambeau, M. Valle, A. Assenza, Mi...