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CVPR
2008
IEEE
14 years 9 months ago
Learning and using taxonomies for fast visual categorization
The computational complexity of current visual categorization algorithms scales linearly at best with the number of categories. The goal of classifying simultaneously Ncat = 104 -...
Gregory Griffin, Darya Perona
CHI
2004
ACM
14 years 8 months ago
Social learning through gaming
This position paper describes the implementation and initial findings of a game called Personal Investigator (PI). PI is an online 3D detective game that implements a model of Bri...
Elaine M. Raybourn, Annika Wærn
HICSS
2009
IEEE
147views Biometrics» more  HICSS 2009»
14 years 2 months ago
Determining a Firm's Optimal Outsourcing Rate: A Learning Model Perspective
We present a decision model of a firm’s optimal outsourcing rate as an extension of Cha et. al [1]’s previous work on the economic risk of knowledge loss and deskilling in the...
Hoon S. Cha, David E. Pingry, Matt E. Thatcher
ICDAR
2009
IEEE
14 years 2 months ago
Learning Rich Hidden Markov Models in Document Analysis: Table Location
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
Ana Costa e Silva
HUC
2007
Springer
14 years 1 months ago
How Smart Homes Learn: The Evolution of the Networked Home and Household
Despite a growing desire to create smart homes, we know little about how networked technologies interact with a house’s infrastructure. In this paper, we begin to close this gap ...
Marshini Chetty, Ja-Young Sung, Rebecca E. Grinter