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COMPUTER
1999
69views more  COMPUTER 1999»
15 years 6 months ago
Scientific Components Are Coming
abstract mathematical or physical statement, not something specific. The way scientific programmers most frequently verify that their programs are correct is to examine their resul...
Paul F. Dubois
PAMI
2007
217views more  PAMI 2007»
15 years 6 months ago
Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations
—We address the problem of comparing sets of images for object recognition, where the sets may represent variations in an object’s appearance due to changing camera pose and li...
Tae-Kyun Kim, Josef Kittler, Roberto Cipolla
199
Voted
SADM
2008
178views more  SADM 2008»
15 years 6 months ago
Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem
: Nonnegative matrix approximation (NNMA) is a popular matrix decomposition technique that has proven to be useful across a diverse variety of fields with applications ranging from...
Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon
INFOCOM
2010
IEEE
15 years 5 months ago
Multihop Transmission Opportunity in Wireless Multihop Networks
—Wireless multihop communication is becoming more important due to the increasing popularity of wireless sensor networks, wireless mesh networks, and mobile social networks. They...
Chansu Yu, Tianning Shen, Kang G. Shin, Jeong-Yoon...
SIAMIS
2010
147views more  SIAMIS 2010»
15 years 5 months ago
Augmented Lagrangian Method, Dual Methods, and Split Bregman Iteration for ROF, Vectorial TV, and High Order Models
In image processing, the Rudin-Osher-Fatemi (ROF) model [L. Rudin, S. Osher, and E. Fatemi, Physica D, 60(1992), pp. 259–268] based on total variation (TV) minimization has prove...
Chunlin Wu, Xue-Cheng Tai