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» On Binary Searching with Nonuniform Costs
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ECML
2006
Springer
13 years 11 months ago
Cost-Sensitive Learning of SVM for Ranking
Abstract. In this paper, we propose a new method for learning to rank. `Ranking SVM' is a method for performing the task. It formulizes the problem as that of binary classific...
Jun Xu, Yunbo Cao, Hang Li, Yalou Huang
AAAI
2012
11 years 10 months ago
Double-Bit Quantization for Hashing
Hashing, which tries to learn similarity-preserving binary codes for data representation, has been widely used for efficient nearest neighbor search in massive databases due to i...
Weihao Kong, Wu-Jun Li
VIS
2003
IEEE
116views Visualization» more  VIS 2003»
14 years 9 months ago
Space Efficient Fast Isosurface Extraction for Large Datasets
In this paper, we present a space efficient algorithm for speeding up isosurface extraction. Even though there exist algorithms that can achieve optimal search performance to iden...
Udeepta Bordoloi, Han-Wei Shen
IPM
2006
94views more  IPM 2006»
13 years 7 months ago
Binary Pathfinder: An improvement to the Pathfinder algorithm
The Pathfinder algorithm is widely used to prune social networks. The pruning maintains the geodesic distances between nodes. It has shown itself to be very useful in the analysis...
Vicente P. Guerrero Bote, Felipe Zapico-Alonso, Ma...
APPROX
2008
Springer
245views Algorithms» more  APPROX 2008»
13 years 9 months ago
Approximating Optimal Binary Decision Trees
Abstract. We give a (ln n + 1)-approximation for the decision tree (DT) problem. An instance of DT is a set of m binary tests T = (T1, . . . , Tm) and a set of n items X = (X1, . ....
Micah Adler, Brent Heeringa