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» Robust Feature Selection Algorithms
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114
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KDD
2003
ACM
195views Data Mining» more  KDD 2003»
16 years 2 months ago
Visualizing changes in the structure of data for exploratory feature selection
Using visualization techniques to explore and understand high-dimensional data is an efficient way to combine human intelligence with the immense brute force computation power ava...
Elias Pampalk, Werner Goebl, Gerhard Widmer
111
Voted
CVPR
2005
IEEE
16 years 4 months ago
Tracking Non-Stationary Appearances and Dynamic Feature Selection
Since the appearance changes of the target jeopardize visual measurements and often lead to tracking failure in practice, trackers need to be adaptive to non-stationary appearance...
Ming Yang, Ying Wu
123
Voted
ESCIENCE
2006
IEEE
15 years 8 months ago
Hybrid Particle Guide Selection Methods in Multi-Objective Particle Swarm Optimization
This paper presents quantitative comparison of the performance of different methods for selecting the guide particle for multi-objective particle swarm optimization (MOPSO). Two p...
David Ireland, Andrew Lewis, Sanaz Mostaghim, Junw...
114
Voted
SBBD
2000
168views Database» more  SBBD 2000»
15 years 3 months ago
Fast Feature Selection Using Fractal Dimension
Dimensionalitycurse and dimensionalityreduction are two issues that have retained highinterest for data mining, machine learning, multimedia indexing, and clustering. We present a...
Caetano Traina Jr., Agma J. M. Traina, Leejay Wu, ...
144
Voted
HUMO
2000
Springer
15 years 5 months ago
Robust Head Motion Computation by Taking Advantage of Physical Properties
We present a new algorithm to compute the head motion between two views from the correspondences of five feature points (eye corners, mouth corners, and nose top), and zero or mor...
Zicheng Liu, Zhengyou Zhang