Sciweavers

25041 search results - page 238 / 5009
» Algorithms for Clustering Data
Sort
View
ICRA
2008
IEEE
191views Robotics» more  ICRA 2008»
15 years 11 months ago
Combining automated on-line segmentation and incremental clustering for whole body motions
Abstract— This paper describes a novel approach for incremental learning of human motion pattern primitives through on-line observation of human motion. The observed motion time ...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura
PPOPP
1999
ACM
15 years 9 months ago
MagPIe: MPI's Collective Communication Operations for Clustered Wide Area Systems
Writing parallel applications for computational grids is a challenging task. To achieve good performance, algorithms designed for local area networks must be adapted to the differ...
Thilo Kielmann, Rutger F. H. Hofman, Henri E. Bal,...
AMDO
2010
Springer
15 years 1 months ago
Analysing the Influence of Vertex Clustering on PCA-Based Dynamic Mesh Compression
Abstract. The growth of computational power of contemporary hardware causes technologies working with 3D-data to expand. Examples of the use of this kind of data can be found in ge...
Jan Rus, Libor Vása
123
Voted
SSPR
2004
Springer
15 years 10 months ago
Learning from General Label Constraints
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...
Tijl De Bie, Johan A. K. Suykens, Bart De Moor
123
Voted
ICDM
2006
IEEE
89views Data Mining» more  ICDM 2006»
15 years 10 months ago
On the Lower Bound of Local Optimums in K-Means Algorithm
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung