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PRL
2006
100views more  PRL 2006»
14 years 10 months ago
Application of LVQ to novelty detection using outlier training data
We propose to use learning vector quantization (LVQ) in novelty detection where a few outliers exist in training data. The codebook update of original LVQ is modified and the sche...
Hyoungjoo Lee, Sungzoon Cho
ECCV
2004
Springer
15 years 12 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
CVPR
2006
IEEE
15 years 12 months ago
Incremental learning of object detectors using a visual shape alphabet
We address the problem of multiclass object detection. Our aims are to enable models for new categories to benefit from the detectors built previously for other categories, and fo...
Andreas Opelt, Axel Pinz, Andrew Zisserman
KDD
2005
ACM
158views Data Mining» more  KDD 2005»
15 years 10 months ago
Adversarial learning
Many classification tasks, such as spam filtering, intrusion detection, and terrorism detection, are complicated by an adversary who wishes to avoid detection. Previous work on ad...
Daniel Lowd, Christopher Meek
IUI
1997
ACM
15 years 2 months ago
The Pedagogical Design Studio: Exploiting Artifact-Based Task Models for Constructivist Learning
Intelligentlearning environments that support constructivism shouldprovideactivelearningexperiencesthatarecustomized for individuallearners. To do so, they must determine learner ...
James C. Lester, Patrick J. Fitzgerald, Brian A. S...