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TKDE
2010
168views more  TKDE 2010»
13 years 6 months ago
Completely Lazy Learning
—Local classifiers are sometimes called lazy learners because they do not train a classifier until presented with a test sample. However, such methods are generally not complet...
Eric K. Garcia, Sergey Feldman, Maya R. Gupta, San...
IDA
2007
Springer
14 years 1 months ago
Learning to Align: A Statistical Approach
We present a new machine learning approach to the inverse parametric sequence alignment problem: given as training examples a set of correct pairwise global alignments, find the p...
Elisa Ricci, Tijl De Bie, Nello Cristianini
CVPR
2010
IEEE
14 years 2 days ago
Learning Weights for Codebook in Image Classification
This paper presents a codebook learning approach for image classification and retrieval. It corresponds to learning a weighted similarity metric to satisfy that the weighted simil...
Hongping Cai, Krystian Mikolajczyk, Fei Yan
WWW
2004
ACM
14 years 8 months ago
Online feedback by tests and reporting for elearning and certification programs
The evaluation of eLearning success is an indispensable business requirement of education programs: the easy registration of `visits' to eLearning websites is, however, not s...
Dirk Bade, Georg Nüssel, Gerd Wilts
CORR
2011
Springer
243views Education» more  CORR 2011»
13 years 2 months ago
Localization from Incomplete Noisy Distance Measurements
—We consider the problem of positioning a cloud of points in the Euclidean space Rd , from noisy measurements of a subset of pairwise distances. This task has applications in var...
Adel Javanmard, Andrea Montanari