Apr 15, 2009 · We test the proposed computational framework on a fish taxonomy problem using 650 specimens from the three Carpiodes morphotypes: C. carpio, C.

In this paper, we present an automated feature selec- tion and classification scheme using logistic regression with controlled false discovery rate to address ...

Jan 4, 2008 · Joint Feature Selection and Classification for Taxonomic Problems within Fish Species Complexes. 3. – It can provide statistical assessment on ...

An automated feature selection and classification scheme using logistic regression with controlled false discovery rate to address the taxonomic research ...

Jan 11, 2010 · It also provides probabilistic assessment of the classification accuracy using the selected features in identifying new species. We apply the ...

We apply the scheme to a taxonomic problem involving species of suckers in the genus Carpiodes. The results confirm the necessity of feature selection for ...

In this study, different sized regions of interest were obtained from fish images and these were used for fish species classification. A previously proposed ...

We propose an integrated feature selection and clustering framework that automatically identifies a set of feature variables to group specimens into a binary ...

We use logistic regression to tackle the feature selection and classification problem jointly. (see [14] for details). C. Logistic Regression Classifier.

May 8, 2024 · Joint feature selection and classification for taxonomic problems within fish species complexes. Pattern Anal. Appl. 13(1): 23-34 (2010). [+] ...