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MICAI
2005
Springer
16 years 19 days ago
Proximity Searching in High Dimensional Spaces with a Proximity Preserving Order
Abstract. Kernel based methods (such as k-nearest neighbors classifiers) for AI tasks translate the classification problem into a proximity search problem, in a space that is usu...
Edgar Chávez, Karina Figueroa, Gonzalo Nava...
SIGMOD
2000
ACM
165views Database» more  SIGMOD 2000»
15 years 11 months ago
Finding Generalized Projected Clusters In High Dimensional Spaces
High dimensional data has always been a challenge for clustering algorithms because of the inherent sparsity of the points. Recent research results indicate that in high dimension...
Charu C. Aggarwal, Philip S. Yu
DAC
1994
ACM
15 years 11 months ago
Dynamic Search-Space Pruning Techniques in Path Sensitization
A powerful combinational path sensitization engine is required for the efficient implementation of tools for test pattern generation, timing analysis, and delay fault testing. Path...
João P. Marques Silva, Karem A. Sakallah
ICML
2008
IEEE
16 years 8 months ago
Accurate max-margin training for structured output spaces
Tsochantaridis et al. (2005) proposed two formulations for maximum margin training of structured spaces: margin scaling and slack scaling. While margin scaling has been extensivel...
Sunita Sarawagi, Rahul Gupta
IWIC
2007
Springer
16 years 1 months ago
Social Conventions and Issues of Space for Distributed Collaboration
We followed the work of an international research network that holds regular meetings in technology-enhanced environments. The team is geographically distributed and to support its...
Hillevi Sundholm