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SPIRE
2005
Springer
14 years 1 months ago
Using the k-Nearest Neighbor Graph for Proximity Searching in Metric Spaces
Proximity searching consists in retrieving from a database, objects that are close to a query. For this type of searching problem, the most general model is the metric space, where...
Rodrigo Paredes, Edgar Chávez
AAAI
2008
13 years 10 months ago
Fast Planning by Search in Domain Transition Graph
Recent advances in classical planning have used the SAS+ formalism, and several effective heuristics have been developed based on the SAS+ formalism. Comparing to the traditional ...
Yixin Chen, Ruoyun Huang, Weixiong Zhang
WWW
2003
ACM
14 years 8 months ago
Finding Relevant Website Queries
Search engine traffic is central to the success of many websites. By analyzing the queries-to-results graph generated by a search engine, our tool can recommend relevant queries f...
Brian D. Davison, David G. Deschenes, David B. Lew...
AI
2011
Springer
13 years 2 months ago
State agnostic planning graphs: deterministic, non-deterministic, and probabilistic planning
Planning graphs have been shown to be a rich source of heuristic information for many kinds of planners. In many cases, planners must compute a planning graph for each element of ...
Daniel Bryce, William Cushing, Subbarao Kambhampat...
CORR
2008
Springer
126views Education» more  CORR 2008»
13 years 7 months ago
Path following algorithm for the graph matching problem
We propose a convex-concave programming approach for the labeled weighted graph matching problem. The convex-concave programming formulation is obtained by rewriting the weighted ...
Mikhail Zaslavskiy, Francis Bach, Jean-Philippe Ve...