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» Temporal Data Classification Using Linear Classifiers
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IFIP12
2008
15 years 4 months ago
P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
Frederic T. Stahl, Max A. Bramer, Mo Adda
CVPR
2007
IEEE
16 years 5 months ago
Online Detection of Fire in Video
This paper describes an online learning based method to detect flames in video by processing the data generated by an ordinary camera monitoring a scene. Our fire detection method...
A. Enis Çetin, B. Ugur Töreyin
ICANN
2007
Springer
15 years 6 months ago
Fuzzy Classifiers Based on Kernel Discriminant Analysis
In this paper, we discuss fuzzy classifiers based on Kernel Discriminant Analysis (KDA) for two-class problems. In our method, first we employ KDA to the given training data and ca...
Ryota Hosokawa, Shigeo Abe
ICCV
2009
IEEE
15 years 20 days ago
Robust facial feature tracking using selected multi-resolution linear predictors
This paper proposes a learnt data-driven approach for accurate, real-time tracking of facial features using only intensity information. Constraints such as a-priori shape models o...
Eng-Jon Ong, Yuxuan Lan, Barry Theobald, Richard H...
ICDE
1999
IEEE
114views Database» more  ICDE 1999»
16 years 4 months ago
Scalable Classification over SQL Databases
We identify data-intensive operations that are common to classifiers and develop a middleware that decomposes and schedules these operations efficiently using a backend SQL databa...
Surajit Chaudhuri, Usama M. Fayyad, Jeff Bernhardt