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GIS
2010
ACM
13 years 3 months ago
Location disambiguation in local searches using gradient boosted decision trees
Local search is a specialization of the web search that allows users to submit geographically constrained queries. However, one of the challenges for local search engines is to un...
Ritesh Agrawal, James G. Shanahan
ECAI
2004
Springer
13 years 10 months ago
Local Search for Heuristic Guidance in Tree Search
Recent work has shown the promise in using local-search “probes” as a basis for directing a backtracking-based refinement search. In this approach, the decision about the next...
Alexander Nareyek, Stephen F. Smith, Christian M. ...
CVPR
2006
IEEE
14 years 6 months ago
Supervised Learning of Edges and Object Boundaries
Edge detection is one of the most studied problems in computer vision, yet it remains a very challenging task. It is difficult since often the decision for an edge cannot be made ...
Piotr Dollár, Zhuowen Tu, Serge Belongie
ICRA
2002
IEEE
111views Robotics» more  ICRA 2002»
13 years 9 months ago
Feature-Based Multi-Hypothesis Localization and Tracking for Mobile Robots using Geometric Constraints
In this paper we present a new probabilistic feature-based approach to multi-hypothesis global localization and pose tracking. Hypotheses are generated using a constraintbased sea...
Kai Oliver Arras, José A. Castellanos, Rola...
WWW
2009
ACM
14 years 5 months ago
Predicting click through rate for job listings
Click Through Rate (CTR) is an important metric for ad systems, job portals, recommendation systems. CTR impacts publisher's revenue, advertiser's bid amounts in "p...
Manish S. Gupta