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94
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CVPR
2006
IEEE
16 years 2 months ago
Selecting Principal Components in a Two-Stage LDA Algorithm
Linear Discriminant Analysis (LDA) is a well-known and important tool in pattern recognition with potential applications in many areas of research. The most famous and used formul...
Aleix M. Martínez, Manli Zhu
ISMAR
2007
IEEE
15 years 7 months ago
Accelerating Template-Based Matching on the GPU for AR Applications
Recently researchers have shown that it is possible to use GPU hardware for image processing and computer vision algorithms. We have been exploring how to use GPU hardware to impr...
Yannick Allusse, Raphael Grasset, Mark Billinghurs...
108
Voted
ICALP
1998
Springer
15 years 4 months ago
A Neuroidal Architecture for Cognitive Computation
An architecture is described for designing systems that acquire and manipulate large amounts of unsystematized, or so-called commonsense, knowledge. Its aim is to exploit to the fu...
Leslie G. Valiant
83
Voted
CORR
2004
Springer
87views Education» more  CORR 2004»
15 years 20 days ago
Exploring tradeoffs in pleiotropy and redundancy using evolutionary computing
Evolutionary computation algorithms are increasingly being used to solve optimization problems as they have many advantages over traditional optimization algorithms. In this paper...
Matthew J. Berryman, Wei-Li Khoo, Hiep Nguyen, Eri...
ACMSE
2006
ACM
15 years 6 months ago
Inductive bases and their application to searches for minimal unary NFAs
Classic results in the theory of regular languages show that the problem of converting an NFA (nondeterministic finite automaton) into a minimal equivalent NFA is NP-hard, even f...
Geoffrey Smith