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CVPR
2011
IEEE
15 years 18 days ago
Sparse Image Representation with Epitomes
Sparse coding, which is the decomposition of a vector using only a few basis elements, is widely used in machine learning and image processing. The basis set, also called dictiona...
Louise Benoit, Julien Mairal, Francis Bach, Jean P...
POPL
2009
ACM
16 years 5 months ago
State-dependent representation independence
Mitchell's notion of representation independence is a particularly useful application of Reynolds' relational parametricity -- two different implementations of an abstra...
Amal Ahmed, Derek Dreyer, Andreas Rossberg
CORR
2002
Springer
131views Education» more  CORR 2002»
15 years 4 months ago
Ownership Confinement Ensures Representation Independence for Object-Oriented Programs
for data abstraction and justifies reasoning by simulation. Representation independence has been shown for a variety of languages and constructs but not for shared references to mu...
Anindya Banerjee, David A. Naumann
TMM
2010
115views Management» more  TMM 2010»
14 years 11 months ago
Representations of Keypoint-Based Semantic Concept Detection: A Comprehensive Study
Based on the local keypoints extracted as salient image patches, an image can be described as a "bag-of-visualwords (BoW)" and this representation has appeared promising ...
Yu-Gang Jiang, Jun Yang 0003, Chong-Wah Ngo, Alexa...
CVPR
2005
IEEE
16 years 6 months ago
Rank-R Approximation of Tensors: Using Image-as-Matrix Representation
We present a novel multilinear algebra based approach for reduced dimensionality representation of image ensembles. We treat an image as a matrix, instead of a vector as in tradit...
Hongcheng Wang, Narendra Ahuja