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» Arguing from Experience to Classifying Noisy Data
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AAAI
2010
15 years 1 months ago
Activity and Gait Recognition with Time-Delay Embeddings
Activity recognition based on data from mobile wearable devices is becoming an important application area for machine learning. We propose a novel approach based on a combination ...
Jordan Frank, Shie Mannor, Doina Precup
KDD
1998
ACM
170views Data Mining» more  KDD 1998»
15 years 4 months ago
Mining Audit Data to Build Intrusion Detection Models
In this paper we discuss a data mining framework for constructing intrusion detection models. The key ideas are to mine system audit data for consistent and useful patterns of pro...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
ECCV
2008
Springer
16 years 1 months ago
Some Objects Are More Equal Than Others: Measuring and Predicting Importance
We observe that everyday images contain dozens of objects, and that humans, in describing these images, give different priority to these objects. We argue that a goal of visual rec...
Merrielle Spain, Pietro Perona
COLING
2008
15 years 1 months ago
Extending a Thesaurus with Words from Pan-Chinese Sources
In this paper, we work on extending a Chinese thesaurus with words distinctly used in various Chinese communities. The acquisition and classification of such region-specific lexic...
Oi Yee Kwong, Benjamin Ka-Yin T'sou
NECO
2002
104views more  NECO 2002»
14 years 11 months ago
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Harri Valpola, Juha Karhunen