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KDD
1995
ACM
129views Data Mining» more  KDD 1995»
15 years 3 months ago
Feature Extraction for Massive Data Mining
Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...
V. Seshadri, Raguram Sasisekharan, Sholom M. Weiss
CVPR
2010
IEEE
14 years 9 months ago
Multi-structure model selection via kernel optimisation
Our goal is to fit the multiple instances (or structures) of a generic model existing in data. Here we propose a novel model selection scheme to estimate the number of genuine str...
Tat-Jun Chin, David Suter, Hanzi Wang
ICALT
2006
IEEE
15 years 5 months ago
A Study of Design Requirements for Mobile Learning Environments
This paper proposes a conceptual framework for mobile learning applications that provides systematic support for mobile learning experience design. It is based on a combination of...
David Parsons, Hokyoung Ryu, Mark Cranshaw
JCP
2007
135views more  JCP 2007»
14 years 11 months ago
A Design Requirements Framework for Mobile Learning Environments
—This paper proposes a conceptual framework for mobile learning applications that provides systematic support for mobile learning experience design. It is based on a combination ...
David Parsons, Hokyoung Ryu, Mark Cranshaw