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» Robust Feature Selection Algorithms
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ICIP
2010
IEEE
15 years 14 days ago
Sparse shapes prototype modeling using genetic algorithms
The process of finding representative shape patterns from sparse datasets is a challenging task: especially for non-rigid objects, shape deformations through time can produce very...
Stefano Maludrottu, Hany Sallam, Carlo S. Regazzon...
122
Voted
ICRA
2010
IEEE
148views Robotics» more  ICRA 2010»
15 years 1 months ago
Improved appearance-based matching in similar and dynamic environments using a Vocabulary tree
Abstract— In this paper we present a topological map building algorithm based on a Vocabulary Tree that is robust to features present in dynamic or similar environments. The algo...
Deon George Sabatta, Davide Scaramuzza, Roland Sie...
139
Voted
INFOCOM
2012
IEEE
13 years 5 months ago
Cuckoo sampling: Robust collection of flow aggregates under a fixed memory budget
—Collecting per-flow aggregates in high-speed links is challenging and usually requires traffic sampling to handle peak rates and extreme traffic mixes. Static selection of sa...
Josep Sanjuàs-Cuxart, Pere Barlet-Ros, Nick...
IJCNN
2008
IEEE
15 years 9 months ago
Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface
—In motor imagery-based Brain Computer Interfaces (BCI), discriminative patterns can be extracted from the electroencephalogram (EEG) using the Common Spatial Pattern (CSP) algor...
Kai Keng Ang, Zhang Yang Chin, Haihong Zhang, Cunt...
MM
2010
ACM
462views Multimedia» more  MM 2010»
15 years 2 months ago
KPB-SIFT: a compact local feature descriptor
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and object recognition. However, such descriptors are typically of ...
Gangqiang Zhao, Ling Chen, Gencai Chen, Junsong Yu...