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BIOID
2008
110views Biometrics» more  BIOID 2008»
15 years 7 days ago
An Empirical Comparison of Individual Machine Learning Techniques in Signature and Fingerprint Classification
This paper describes an empirical study to investigate the performance of a wide range of classifiers deployed in applications to classify biometric data. The study specifically re...
Marjory C. C. Abreu, Michael C. Fairhurst
ICDE
2008
IEEE
203views Database» more  ICDE 2008»
15 years 11 months ago
Training Linear Discriminant Analysis in Linear Time
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. It has been widely used in many fields of information proces...
Deng Cai, Xiaofei He, Jiawei Han
157
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VLSISP
2011
358views Database» more  VLSISP 2011»
14 years 5 months ago
Accelerating Machine-Learning Algorithms on FPGAs using Pattern-Based Decomposition
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
ICML
2007
IEEE
15 years 11 months ago
Learning for efficient retrieval of structured data with noisy queries
Increasingly large collections of structured data necessitate the development of efficient, noise-tolerant retrieval tools. In this work, we consider this issue and describe an ap...
Charles Parker, Alan Fern, Prasad Tadepalli
92
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DMIN
2009
132views Data Mining» more  DMIN 2009»
14 years 8 months ago
Understanding Support Vector Machine Classifications via a Recommender System-Like Approach
Support vector machines are a valuable tool for making classifications, but their black-box nature means that they lack the natural explanatory value that many other classifiers po...
David Barbella, Sami Benzaid, Janara M. Christense...