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» Presenting Data from Experiments in Algorithmics
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EPIA
2003
Springer
16 years 24 days ago
Adaptation to Drifting Concepts
Most of supervised learning algorithms assume the stability of the target concept over time. Nevertheless in many real-user modeling systems, where the data is collected over an ex...
Gladys Castillo, João Gama, Pedro Medas
SIGMOD
1997
ACM
113views Database» more  SIGMOD 1997»
15 years 11 months ago
Size Separation Spatial Join
The Partitioned Based Spatial-Merge Join (PBSM) of Patel and DeWitt and the Size Separation Spatial Join (S3 J) of Koudas and Sevcik are considered to be among the most efficient ...
Nick Koudas, Kenneth C. Sevcik
PKDD
2010
Springer
178views Data Mining» more  PKDD 2010»
15 years 6 months ago
Large-Scale Support Vector Learning with Structural Kernels
Abstract. In this paper, we present an extensive study of the cuttingplane algorithm (CPA) applied to structural kernels for advanced text classification on large datasets. In par...
Aliaksei Severyn, Alessandro Moschitti
ICPR
2004
IEEE
16 years 8 months ago
Robust Feature Matching Across Widely Separated Color Images
We present a novel method for feature matching across widely separated color images. The proposed approach is robust and can support various correspondence based algorithms e.g. t...
Alexander Kaplan, Ehud Rivlin, Ilan Shimshoni
TMI
2008
135views more  TMI 2008»
15 years 7 months ago
A Factorization Approach for Cone-Beam Reconstruction on a Circular Short-Scan
In this paper, we introduce a new algorithm for 3-D image reconstruction from cone-beam (CB) projections acquired along a partial circular scan. Our algorithm is based on a novel, ...
Frank Dennerlein, Frédéric Noo, H. S...