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ICPR
2008
IEEE
14 years 3 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
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 9 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
14 years 10 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
SLSFS
2005
Springer
14 years 2 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
ICIP
1994
IEEE
14 years 28 days 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