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» New Algorithms for k-Center and Extensions
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MCS
2010
Springer
14 years 2 months ago
Incremental Learning of New Classes in Unbalanced Datasets: Learn + + .UDNC
We have previously described an incremental learning algorithm, Learn++ .NC, for learning from new datasets that may include new concept classes without accessing previously seen d...
Gregory Ditzler, Michael D. Muhlbaier, Robi Polika...
SAC
2010
ACM
13 years 4 months ago
Convex onion peeling genetic algorithm: an efficient solution to map labeling of point-feature
Map labeling of point-feature is the problem of placing text labels to corresponding point features on a map in a way that minimizes overlaps while satisfying basic rules for the ...
Wan D. Bae, Shayma Alkobaisi, Petr Vojtechovsk&yac...
IDEAS
2006
IEEE
109views Database» more  IDEAS 2006»
14 years 3 months ago
Collaborative Filtering Process in a Whole New Light
Collaborative Filtering (CF) Systems are gaining widespread acceptance in recommender systems and ecommerce applications. These systems combine information retrieval and data mini...
Panagiotis Symeonidis, Alexandros Nanopoulos, Apos...
ASIACRYPT
2003
Springer
14 years 2 months ago
New Parallel Domain Extenders for UOWHF
We present two new parallel algorithms for extending the domain of a UOWHF. The first algorithm is complete binary tree based construction and has less key length expansion than S...
Wonil Lee, Donghoon Chang, Sangjin Lee, Soo Hak Su...
ICIP
2009
IEEE
14 years 10 months ago
New Results On Performance Analysis Of Super-resolution Image Reconstruction
In this paper, we present new results in performance analysis of super-resolution (SR) image reconstruction. We investigate bounds on the improvement in resolution that can be ach...