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JMLR
2010
153views more  JMLR 2010»
15 years 1 months ago
Feature Extraction for Outlier Detection in High-Dimensional Spaces
This work addresses the problem of feature extraction for boosting the performance of outlier detectors in high-dimensional spaces. Recent years have observed the prominence of mu...
Nguyen Hoang Vu, Vivekanand Gopalkrishnan
SCALESPACE
2005
Springer
16 years 14 hour ago
Regularity and Scale-Space Properties of Fractional High Order Linear Filtering
We investigate the use of fractional powers of the Laplacian for signal and image simplification. We focus both on their corresponding variational techniques and parabolic pseudod...
Stephan Didas, Bernhard Burgeth, Atsushi Imiya, Jo...
ACCV
2009
Springer
15 years 10 months ago
Efficient Scale-Space Spatiotemporal Saliency Tracking for Distortion-Free Video Retargeting
Video retargeting aims at transforming an existing video in order to display it appropriately on a target device, often in a lower resolution, such as a mobile phone. To preserve a...
Gang Hua, Cha Zhang, Zicheng Liu, Zhengyou Zhang, ...
KAIS
2007
97views more  KAIS 2007»
15 years 6 months ago
Stability of feature selection algorithms: a study on high-dimensional spaces
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
Alexandros Kalousis, Julien Prados, Melanie Hilari...
SIGIR
1998
ACM
15 years 6 months ago
Exploring the Similarity Space
Ranked queries are used to locate relevant documents in text databases. In a ranked query a list of terms is specified, then the documents that most closely match the query are re...
Justin Zobel, Alistair Moffat