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NCI
2004
141views Neural Networks» more  NCI 2004»
14 years 11 months ago
Estimating the error at given test input points for linear regression
In model selection procedures in supervised learning, a model is usually chosen so that the expected test error over all possible test input points is minimized. On the other hand...
Masashi Sugiyama
CHI
2010
ACM
15 years 4 months ago
ColorPIN: securing PIN entry through indirect input
Automated teller machine (ATM) frauds are increasing drastically these days. When analyzing the most common attacks and the reasons for successful frauds, it becomes apparent that...
Alexander De Luca, Katja Hertzschuch, Heinrich Hus...
ICTAC
2009
Springer
15 years 4 months ago
Input-Output Model Programs
Abstract. Model programs are used as high-level behavioral specifications typically representing abstract state machines. For modeling reactive systems, one uses input-output mode...
Margus Veanes, Nikolaj Bjørner
84
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ICCV
2011
IEEE
13 years 9 months ago
iGroup : Weakly supervised image and video grouping
We present a generic, efficient and iterative algorithm for interactively clustering classes of images and videos. The approach moves away from the use of large hand labelled tra...
Andrew Gilbert, Richard Bowden
ICMI
2003
Springer
99views Biometrics» more  ICMI 2003»
15 years 2 months ago
Using an autonomous cube for basic navigation and input
This paper presents a low-cost and practical approach to achieve basic input using a tactile cube-shaped object, augmented with a set of sensors, processor, batteries and wireless...
Kristof Van Laerhoven, Nicolas Villar, Albrecht Sc...