12 years 6 months ago
Functional-Based Table Category Identification in Digital Library
– Better understanding the document logical components is crucial to many applications, e.g., document classification or data integration. As the development of digital libraries...
Seongchan Kim, Ying Liu
112views more  TCBB 2010»
13 years 1 months ago
A Study of Hierarchical and Flat Classification of Proteins
Automatic classification of proteins using machine learning is an important problem that has received significant attention in the literature. One feature of this problem is that e...
Arthur Zimek, Fabian Buchwald, Eibe Frank, Stefan ...
13 years 1 months ago
A comparative study on feature extraction for fingerprint classification and performance improvements using rank-level fusion
Abstract Fingerprint classification represents an important preprocessing step in fingerprint identification, which can be very helpful in reducing the cost of searching large fing...
Uday Rajanna, Ali Erol, George Bebis
13 years 4 months ago
Improving object classification using semantic attributes
This paper shows how semantic attribute features can be used to improve object classification performance. The semantic attributes used fall into five groups: scene (e.g. `road�...
Yu Su, Moray Allan, Frédéric Jurie
186views Control Systems» more  SMC 2010»
13 years 4 months ago
Semantic enrichment of text representation with wikipedia for text classification
—Text classification is a widely studied topic in the area of machine learning. A number of techniques have been developed to represent and classify text documents. Most of the t...
Hiroki Yamakawa, Jing Peng, Anna Feldman
148views more  PAMI 2002»
13 years 6 months ago
Two Variations on Fisher's Linear Discriminant for Pattern Recognition
Discriminants are often used in pattern recognition to separate clusters of points in some multidimensional "feature" space. This paper provides two fast and simple techn...
Tristrom Cooke
133views more  TKDE 2008»
13 years 6 months ago
Rotational Linear Discriminant Analysis Technique for Dimensionality Reduction
The linear discriminant analysis (LDA) technique is very popular in pattern recognition for dimensionality reduction. It is a supervised learning technique that finds a linear tran...
Alok Sharma, Kuldip K. Paliwal
71views more  BIOINFORMATICS 2005»
13 years 6 months ago
Semi-supervised protein classification using cluster kernels
A key issue in supervised protein classification is the representation of input sequences of amino acids. Recent work using string kernels for protein data has achieved state-of-t...
Jason Weston, Christina S. Leslie, Eugene Ie, Deng...
94views more  PRL 2006»
13 years 6 months ago
Improving visual evoked potential feature classification for person recognition using PCA and normalization
In earlier papers, it was shown that recognizing persons using their brain patterns evoked during visual stimulus is possible. In this paper, several modifications are proposed to...
Ramaswamy Palaniappan, K. V. R. Ravi
124views more  PRL 2008»
13 years 6 months ago
Matrix-pattern-oriented least squares support vector classifier with AdaBoost
: Matrix-pattern-oriented Least Squares Support Vector Classifier (MatLSSVC) can directly classify matrix patterns and has a superior classification performance than its vector ver...
Zhe Wang, Songcan Chen