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» Metric and Kernel Learning Using a Linear Transformation
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CASES
2006
ACM
15 years 7 months ago
Limitations of special-purpose instructions for similarity measurements in media SIMD extensions
Microprocessor vendors have provided special-purpose instructions such as psadbw and pdist to accelerate the sumof-absolute differences (SAD) similarity measurement. The usefulne...
Asadollah Shahbahrami, Ben H. H. Juurlink, Stamati...
SLSFS
2005
Springer
15 years 7 months ago
Generalization Bounds for Subspace Selection and Hyperbolic PCA
We present a method which uses example pairs of equal or unequal class labels to select a subspace with near optimal metric properties in a kernel-induced Hilbert space. A represen...
Andreas Maurer
145
Voted
CVPR
2009
IEEE
16 years 9 months ago
Locally Time-Invariant models of Human Activities using Trajectories on the Grassmanian
Human activity analysis is an important problem in computer vision with applications in surveillance and summarization and indexing of consumer content. Complex human activities...
Pavan Turaga, Rama Chellappa
ML
2010
ACM
155views Machine Learning» more  ML 2010»
15 years 8 days ago
On the infeasibility of modeling polymorphic shellcode - Re-thinking the role of learning in intrusion detection systems
Current trends demonstrate an increasing use of polymorphism by attackers to disguise their exploits. The ability for malicious code to be easily, and automatically, transformed in...
Yingbo Song, Michael E. Locasto, Angelos Stavrou, ...
MMMACNS
2005
Springer
15 years 7 months ago
Networks, Markov Lie Monoids, and Generalized Entropy
The continuous general linear group in n dimensions can be decomposed into two Lie groups: (1) an n(n-1) dimensional ‘Markov type’ Lie group that is defined by preserving the ...
Joseph E. Johnson