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ICCV
2003
IEEE
15 years 12 months ago
Feature Selection for Unsupervised and Supervised Inference: the Emergence of Sparsity in a Weighted-based Approach
The problem of selecting a subset of relevant features in a potentially overwhelming quantity of data is classic and found in many branches of science. Examples in computer vision...
Lior Wolf, Amnon Shashua
HICSS
2003
IEEE
102views Biometrics» more  HICSS 2003»
15 years 3 months ago
Prototype-Matching System for Allocating Conference Papers
Conferences on applied research require more complicated taxonomy than traditional organization of conferences by tracks. A topic of a paper, submitted to a conference on the appl...
Antonina Kloptchenko, Barbro Back, Hannu Vanharant...
CHI
2009
ACM
15 years 2 months ago
A comparison of mobile money-transfer UIs for non-literate and semi-literate users
Due to the increasing penetration of mobile phones even into poor communities, mobile payment schemes could bring formal financial services to the "unbanked". However, b...
Indrani Medhi, S. N. Nagasena Gautama, Kentaro Toy...
ICDM
2009
IEEE
149views Data Mining» more  ICDM 2009»
15 years 4 months ago
Accelerated Gradient Method for Multi-task Sparse Learning Problem
—Many real world learning problems can be recast as multi-task learning problems which utilize correlations among different tasks to obtain better generalization performance than...
Xi Chen, Weike Pan, James T. Kwok, Jaime G. Carbon...
MKM
2007
Springer
15 years 4 months ago
Methods of Relevance Ranking and Hit-content Generation in Math Search
To be effective and useful, math search systems must not only maximize precision and recall, but also present the query hits in a form that makes it easy for the user to identify...
Abdou Youssef