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» The Inefficiency of Batch Training for Large Training Sets
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CVPR
2005
IEEE
14 years 11 months ago
Pedestrian Detection in Crowded Scenes
In this paper, we address the problem of detecting pedestrians in crowded real-world scenes with severe overlaps. Our basic premise is that this problem is too difficult for any t...
Bastian Leibe, Edgar Seemann, Bernt Schiele
ICML
2006
IEEE
14 years 9 months ago
A statistical approach to rule learning
We present a new, statistical approach to rule learning. Doing so, we address two of the problems inherent in traditional rule learning: The computational hardness of finding rule...
Stefan Kramer, Ulrich Rückert
ICDM
2003
IEEE
126views Data Mining» more  ICDM 2003»
14 years 2 months ago
Mining Relevant Text from Unlabelled Documents
Automatic classification of documents is an important area of research with many applications in the fields of document searching, forensics and others. Methods to perform class...
Daniel Barbará, Carlotta Domeniconi, Ning K...
ISMIR
2001
Springer
199views Music» more  ISMIR 2001»
14 years 1 months ago
Automatic Musical Genre Classification of Audio Signals
Musical genres are categorical descriptions that are used to describe music. They are commonly used to structure the increasing amounts of music available in digital form on the W...
George Tzanetakis
KDD
2000
ACM
142views Data Mining» more  KDD 2000»
14 years 14 days ago
Automating exploratory data analysis for efficient data mining
Having access to large data sets for the purpose of predictive data mining does not guarantee good models, even when the size of the training data is virtually unlimited. Instead,...
Jonathan D. Becher, Pavel Berkhin, Edmund Freeman