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144
Voted
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
113
Voted
ICSE
2009
IEEE-ACM
16 years 4 months ago
2009
IEEE-ACM
The area of clone detection has considerably evolved over the last decade, leading to approaches with better results, but at the same time using more elaborate algorithms and tool...
123
Voted
ICDAR
2009
IEEE
15 years 10 months ago
2009
IEEE
A new isolated handwritten Farsi numeral recognition algorithm is proposed in this paper, which exploits the sparse and over-complete structure from the handwritten Farsi numeral ...
119
Voted
IROS
2009
IEEE
15 years 10 months ago
2009
IEEE
— In this paper we present a new vision-based SLAM approach for multi-robot formulation. For a cooperative map reconstruction, the robots have to know each other’s relative pos...
158
Voted
ICB
2009
Springer
15 years 10 months ago
2009
Springer
The small sample size problem and the difficulty in determining the optimal reduced dimension limit the application of subspace learning methods in the gait recognition domain. To...