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SPIRE
2005
Springer
13 years 10 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 7 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 6 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 10 days 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 5 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...