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NIPS
2008
15 years 6 months ago
Analyzing human feature learning as nonparametric Bayesian inference
Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
Joseph Austerweil, Thomas L. Griffiths
136
Voted
IJCV
2008
241views more  IJCV 2008»
15 years 5 months ago
Object Class Recognition and Localization Using Sparse Features with Limited Receptive Fields
We investigate the role of sparsity and localized features in a biologically-inspired model of visual object classification. As in the model of Serre, Wolf, and Poggio, we first a...
Jim Mutch, David G. Lowe
COMPSAC
2006
IEEE
15 years 11 months ago
A Pattern-Based Technique for Developing UML Models of Access Control Systems
This paper describes a pattern-based technique for systematic development of UML models of secure systems using access control. Access control is viewed and specified as a design...
Dae-Kyoo Kim, Priya Gokhale
CIDR
2003
153views Algorithms» more  CIDR 2003»
15 years 6 months ago
Applying Model Management to Classical Meta Data Problems
Model management is a new approach to meta data management that offers a higher level programming interface than current techniques. The main abstractions are models (e.g., schema...
Philip A. Bernstein
ICMI
2009
Springer
146views Biometrics» more  ICMI 2009»
15 years 11 months ago
Learning from preferences and selected multimodal features of players
The influence of multimodal sources of input data to the construction of accurate computational models of user preferences is investigated in this paper. The case study presented...
Georgios N. Yannakakis