Sciweavers

667 search results - page 78 / 134
» Quantization-Based Methods: Additive Attacks Performance Ana...
Sort
View
ICML
2001
IEEE
16 years 20 days ago
Round Robin Rule Learning
In this paper, we discuss a technique for handling multi-class problems with binary classifiers, namely to learn one classifier for each pair of classes. Although this idea is kno...
Johannes Fürnkranz
ICML
2001
IEEE
16 years 20 days ago
Constrained K-means Clustering with Background Knowledge
Clustering is traditionally viewed as an unsupervised method for data analysis. However, in some cases information about the problem domain is available in addition to the data in...
Kiri Wagstaff, Claire Cardie, Seth Rogers, Stefan ...
SMI
2006
IEEE
122views Image Analysis» more  SMI 2006»
15 years 5 months ago
A Constrained Least Squares Approach to Interactive Mesh Deformation
In this paper, we propose a constrained least squares approach for stably computing Laplacian deformation with strict positional constraints. In the existing work on Laplacian def...
Yasuhiro Yoshioka, Hiroshi Masuda, Yoshiyuki Furuk...
IJCNLP
2005
Springer
15 years 5 months ago
Using the Structure of a Conceptual Network in Computing Semantic Relatedness
Abstract. We present a new method for computing semantic relatedness of concepts. The method relies solely on the structure of a conceptual network and eliminates the need for perf...
Iryna Gurevych
CAIP
2003
Springer
184views Image Analysis» more  CAIP 2003»
15 years 5 months ago
Multi-class Support Vector Machines with Case-Based Combination for Face Recognition
Abstract. The support vector machine is basically to deal with a two-class classification problem. To get M-class classifiers for face recognition, it is common to construct a set ...
Jaepil Ko, Hyeran Byun