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» On the Learnability of Vector Spaces
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IJCV
2006
115views more  IJCV 2006»
14 years 10 months ago
Object Recognition as Many-to-Many Feature Matching
Object recognition can be formulated as matching image features to model features. When recognition is exemplar-based, feature correspondence is one-to-one. However, segmentation e...
M. Fatih Demirci, Ali Shokoufandeh, Yakov Keselman...
PAMI
2008
156views more  PAMI 2008»
14 years 9 months ago
Tied Factor Analysis for Face Recognition across Large Pose Differences
Face recognition algorithms perform very unreliably when the pose of the probe face is different from the gallery face: typical feature vectors vary more with pose than with identi...
Simon J. D. Prince, James H. Elder, Jonathan Warre...
FGCS
2006
83views more  FGCS 2006»
14 years 10 months ago
Memory-efficient Kronecker algorithms with applications to the modelling of parallel systems
We present a new algorithm for computing the solution of large Markov chain models whose generators can be represented in the form of a generalized tensor algebra, such as network...
Anne Benoit, Brigitte Plateau, William J. Stewart
ICDAR
2003
IEEE
15 years 3 months ago
Extraction, layout analysis and classification of diagrams in PDF documents
Diagrams are a critical part of virtually all scientific and technical documents. Analyzing diagrams will be important for building comprehensive document retrieval systems. This ...
Robert P. Futrelle, Mingyan Shao, Chris Cieslik, A...
EUROPAR
1998
Springer
15 years 2 months ago
Enhancing Spatial Locality via Data Layout Optimizations
This paper aims to improve locality of references by suitably choosing array layouts. We use a new definition of spatial reuse vectors that takes into account memory layout of arra...
Mahmut T. Kandemir, Alok N. Choudhary, J. Ramanuja...