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105
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ICPR
2008
IEEE
15 years 9 months ago
On the scalability of robot localization using high-dimensional features
This study provides an investigation of scalability of mobile robot localization. In recent years, inference algorithms based on map-matching have proved their superior performanc...
Takeshi Ueda, Kanji Tanaka
116
Voted
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
16 years 3 months ago
Consensus group stable feature selection
Stability is an important yet under-addressed issue in feature selection from high-dimensional and small sample data. In this paper, we show that stability of feature selection ha...
Steven Loscalzo, Lei Yu, Chris H. Q. Ding
ICPR
2008
IEEE
16 years 4 months ago
Local shape features for object recognition
We present a shape matching algorithm based on the chamfer distance transform which can be easily integrated into the well-known SIFT framework. The shape matching was designed to...
Bernd Heisele, Carlos Rocha
137
Voted
SLSFS
2005
Springer
15 years 8 months ago
Random Projection, Margins, Kernels, and Feature-Selection
Random projection is a simple technique that has had a number of applications in algorithm design. In the context of machine learning, it can provide insight into questions such as...
Avrim Blum
131
Voted
ICIP
1994
IEEE
15 years 6 months ago
An Improved Fast Feature-Based Block Motion Estimation
A fast block matching algorithm in the feature domain was proposed by Fok and Au which achieves a computation reduction factor of N/2 with search block size of N
Yiu-Hung Fok, Oscar C. Au