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CVPR
2012
IEEE
13 years 6 months ago
Learning sparse covariance patterns for natural scenes
For scene classification, patch-level linear features do not always work as well as handcrafted features. In this paper, we present a new model to greatly improve the usefulness ...
Liwei Wang, Yin Li, Jiaya Jia, Jian Sun, David Wip...
HICSS
1995
IEEE
109views Biometrics» more  HICSS 1995»
15 years 8 months ago
HINT: A new way to measure computer performance
The computing community has long faced the problem of scientifically comparing different computers and different algorithms. When architecture, method, precision, or storage capac...
John L. Gustafson, Quinn Snell
FLAIRS
2004
15 years 5 months ago
A Computational Psycholinguistic Model of Natural Language Processing
Double R Model (Referential and Relational model) is a computational psycholinguistic model of NLP founded on the principles of Cognitive Linguistics and implemented using the ACT...
Jerry T. Ball
UAI
2008
15 years 5 months ago
Modelling local and global phenomena with sparse Gaussian processes
Much recent work has concerned sparse approximations to speed up the Gaussian process regression from the unfavorable O(n3 ) scaling in computational time to O(nm2 ). Thus far, wo...
Jarno Vanhatalo, Aki Vehtari
NMELP
1994
15 years 8 months ago
Computing Stable and Partial Stable Models of Extended Disjunctive Logic Programs
In Prz91], Przymusinski introduced the partial (or 3-valued) stable model semantics which extends the (2-valued) stable model semantics dened originally by Gelfond and Lifschitz G...
Carolina Ruiz, Jack Minker