244 search results - page 31 / 49 » High-Dimensional Similarity Retrieval Using Dimensional Choi... |
ICRA
2010
IEEE
14 years 10 months ago
2010
IEEE
— Tendon driven mechanisms have been considered in robotic design for several decades. They provide lightweight end effectors with high dynamics. Using remote actuators it is pos...
104
click to vote
ICCV
2007
IEEE
16 years 1 months ago
2007
IEEE
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
110
click to vote
ECCV
2010
Springer
15 years 4 months ago
2010
Springer
Recent research has shown the effectiveness of using sparse coding(Sc) to solve many computer vision problems. Motivated by the fact that kernel trick can capture the nonlinear sim...
AAAI
2007
15 years 2 months ago
2007
String kernels directly model sequence similarities without the necessity of extracting numerical features in a vector space. Since they better capture complex traits in the seque...
131
click to vote
ICPP
2000
IEEE
15 years 4 months ago
2000
IEEE
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...