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NIPS
2003
15 years 8 months ago
Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks
Gradient-following learning methods can encounter problems of implementation in many applications, and stochastic variants are frequently used to overcome these difficulties. We ...
Justin Werfel, Xiaohui Xie, H. Sebastian Seung
ICIS
1997
15 years 8 months ago
An information company in Mexico: extending the resource-based view of the firm
This paper extends the resource-based view of the firm to a less developed country situation by challenging three boundary conditions associated with the theory: first, the theory...
Sirkka L. Jarvenpaa, Dorothy E. Leidner
PICS
2000
15 years 8 months ago
A Portable Image Analysis System for Performing In Situ Image Quality Measurements
Traditionally, quantitative image quality analytical methods rely on large hardware in fixed installations. There are many situations when portability is required, where these met...
David Wolin, Yair Kipman
AAAI
1994
15 years 8 months ago
Dead-End Driven Learning
The paper evaluates the eectiveness of learning for speeding up the solution of constraint satisfaction problems. It extends previous work (Dechter 1990) by introducing a new and ...
Daniel Frost, Rina Dechter
MVA
1996
223views Computer Vision» more  MVA 1996»
15 years 8 months ago
Classification of Rotated and Scaled Textured Images Using Spectral Moments
This paper describes a classification method for rotated and scaled textured images using invariant parameters based on spectral-moments. Although it is well known that rotation i...
Yasuo Yoshida, Yue Wu