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» Group Input Machine
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89
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NIPS
1994
15 years 1 months ago
From Data Distributions to Regularization in Invariant Learning
Ideally pattern recognition machines provide constant output when the inputs are transformed under a group G of desired invariances. These invariances can be achieved by enhancing...
Todd K. Leen
81
Voted
ICFCA
2009
Springer
15 years 4 months ago
A Novel Approach to Cell Formation
We present an approach to the cell formation problem, known from group technology, which is inspired by formal concept analysis. The cell formation problem consists in allocating p...
Radim Belohlávek, Niranjan Kulkarni, Vil&ea...
86
Voted
CHI
2009
ACM
15 years 7 months ago
Vibrapass: secure authentication based on shared lies
Authentication in public spaces is a risky task. Frauds on cash machines (ATMs) are not uncommon nowadays. The biggest group of attacks is observation attacks, which focus on reco...
Alexander De Luca, Emanuel von Zezschwitz, Heinric...
101
Voted
DMIN
2008
145views Data Mining» more  DMIN 2008»
15 years 1 months ago
Privacy-Preserving Classification of Horizontally Partitioned Data via Random Kernels
We propose a novel privacy-preserving nonlinear support vector machine (SVM) classifier for a data matrix A whose columns represent input space features and whose individual rows ...
Olvi L. Mangasarian, Edward W. Wild
113
Voted
TKDD
2008
113views more  TKDD 2008»
15 years 4 days ago
Privacy-preserving classification of vertically partitioned data via random kernels
We propose a novel privacy-preserving support vector machine (SVM) classifier for a data matrix A whose input feature columns are divided into groups belonging to different entiti...
Olvi L. Mangasarian, Edward W. Wild, Glenn Fung