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» Training Linear Discriminant Analysis in Linear Time
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CVPR
2006
IEEE
15 years 12 months ago
Classifying Human Dynamics Without Contact Forces
We develop a classification algorithm for hybrid autoregressive models of human motion for the purpose of videobased analysis and recognition. We assume that some temporal statist...
Alessandro Bissacco, Stefano Soatto
PR
2006
65views more  PR 2006»
14 years 9 months ago
Why direct LDA is not equivalent to LDA
In this paper, we present counterarguments against the direct LDA algorithm (D-LDA), which was previously claimed to be equivalent to Linear Discriminant Analysis (LDA). We show f...
Hui Gao, James W. Davis
SIAMJO
2008
104views more  SIAMJO 2008»
14 years 9 months ago
A Minimax Theorem with Applications to Machine Learning, Signal Processing, and Finance
This paper concerns a fractional function of the form xT a/ xT Bx, where B is positive definite. We consider the game of choosing x from a convex set, to maximize the function, an...
Seung-Jean Kim, Stephen P. Boyd
ACIVS
2006
Springer
15 years 3 months ago
A Comparison of Nearest Neighbor Search Algorithms for Generic Object Recognition
The nearest neighbor (NN) classifier is well suited for generic object recognition. However, it requires storing the complete training data, and classification time is linear in ...
Ferid Bajramovic, Frank Mattern, Nicholas Butko, J...
PR
2006
102views more  PR 2006»
14 years 9 months ago
Prototype selection for dissimilarity-based classifiers
A conventional way to discriminate between objects represented by dissimilarities is the nearest neighbor method. A more efficient and sometimes a more accurate solution is offere...
Elzbieta Pekalska, Robert P. W. Duin, Pavel Pacl&i...