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» Evaluating algorithms that learn from data streams
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CVPR
2011
IEEE
15 years 2 months ago
Online Detection of Unusual Events in Videos via Dynamic Sparse Coding
Real-time unusual event detection in video stream has been a difficult challenge due to the lack of sufficient training information, volatility of the definitions for both norm...
Bin Zhao, Li Fei-Fei, Eric Xing
KDD
2012
ACM
179views Data Mining» more  KDD 2012»
13 years 9 months ago
Web image prediction using multivariate point processes
In this paper, we investigate a problem of predicting what images are likely to appear on the Web at a future time point, given a query word and a database of historical image str...
Gunhee Kim, Fei-Fei Li, Eric P. Xing
183
Voted
SDM
2008
SIAM
133views Data Mining» more  SDM 2008»
15 years 8 months ago
A RELIEF Based Feature Extraction Algorithm
RELIEF is considered one of the most successful algorithms for assessing the quality of features due to its simplicity and effectiveness. It has been recently proved that RELIEF i...
Yijun Sun, Dapeng Wu
ISMIR
2004
Springer
115views Music» more  ISMIR 2004»
16 years 5 hour ago
Musical key extraction from audio
The realisation and evaluation of a musical key extraction algorithm that works directly on raw audio data is presented. Its implementation is based on models of human auditory pe...
Steffen Pauws
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
16 years 5 days ago
Applying both positive and negative selection to supervised learning for anomaly detection
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
Xiaoshu Hang, Honghua Dai