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MVA
2010
130views Computer Vision» more  MVA 2010»
14 years 8 months ago
Neighborhood linear embedding for intrinsic structure discovery
In this paper, an unsupervised learning algorithm, neighborhood linear embedding (NLE), is proposed to discover the intrinsic structures such as neighborhood relationships, global ...
Shuzhi Sam Ge, Feng Guan, Yaozhang Pan, Ai Poh Loh
ICML
2010
IEEE
14 years 10 months ago
Learning Temporal Causal Graphs for Relational Time-Series Analysis
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
Yan Liu 0002, Alexandru Niculescu-Mizil, Aurelie C...
JGTOOLS
2008
100views more  JGTOOLS 2008»
14 years 9 months ago
Proximity Cluster Trees
Hierarchical spatial data structures provide a means for organizing data for efficient processing. Most spatial data structures are optimized for performing queries, such as inters...
Elena Jakubiak Hutchinson, Sarah F. Frisken, Ronal...
STOC
2003
ACM
178views Algorithms» more  STOC 2003»
15 years 10 months ago
Uniform hashing in constant time and linear space
Many algorithms and data structures employing hashing have been analyzed under the uniform hashing assumption, i.e., the assumption that hash functions behave like truly random fu...
Anna Östlin, Rasmus Pagh
ITC
2003
IEEE
205views Hardware» more  ITC 2003»
15 years 3 months ago
H-DFT: A Hybrid DFT Architecture For Low-Cost High Quality Structural Testing
This paper describes a Hybrid DFT (H-DFT) architecture for low-cost, high quality structural testing in the high volume manufacturing (HVM) environment. This structure efficiently...
David M. Wu, Mike Lin, Subhasish Mitra, Kee Sup Ki...