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» The Convergence of Iterated Classification
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ICCV
2003
IEEE
16 years 1 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
CHI
2009
ACM
16 years 8 days ago
Programming reality: from transitive materials to organic user interfaces
Over the past few years, a quiet revolution has been redefining our fundamental computing technologies. Flexible E-Ink, OLED displays, shape-changing materials, parametric design,...
Marcelo Coelho, Ivan Poupyrev, Sajid Sadi, Roel Ve...
CHI
2004
ACM
16 years 1 days ago
Categorical imperative NOT: facial affect is perceived continuously
Facial affect (or emotion) recognition is a central issue for many VMC and naturalistic computing applications. Most computational models assume "categorical perception"...
Diane J. Schiano, Sheryl M. Ehrlich, Kyle Sheridan
OZCHI
2006
ACM
15 years 5 months ago
Beyond security: implications for the future of federated digital identity management systems
Federated identity management is often viewed by corporations as a solution to support secure online commerce by synthesising complex and fragmented user information into a single...
Christine Satchell, Graeme G. Shanks, Steve Howard...
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 3 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa