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ECCV
2006
Springer
14 years 6 months ago
Sparse Flexible Models of Local Features
Abstract. In recent years there has been growing interest in recognition models using local image features for applications ranging from long range motion matching to object class ...
Gustavo Carneiro, David Lowe
ACCV
2006
Springer
13 years 10 months ago
Probabilistic Modeling for Structural Change Inference
We view the task of change detection as a problem of object recognition from learning. The object is defined in a 3D space where the time is the 3rd dimension. We propose two com...
Wei Liu, Véronique Prinet
CVPR
2007
IEEE
14 years 6 months ago
Hybrid learning of large jigsaws
A jigsaw is a recently proposed generative model that describes an image as a composition of non-overlapping patches of varying shape, extracted from a latent image. By learning t...
Julia A. Lasserre, Anitha Kannan, John M. Winn
WWW
2010
ACM
13 years 11 months ago
Web-scale k-means clustering
We present two modifications to the popular k-means clustering algorithm to address the extreme requirements for latency, scalability, and sparsity encountered in user-facing web...
D. Sculley
EUROPAR
2008
Springer
13 years 6 months ago
Efficiently Building the Gated Single Assignment Form in Codes with Pointers in Modern Optimizing Compilers
Abstract. Understanding program behavior is at the foundation of program optimization. Techniques for automatic recognition of program constructs characterize the behavior of code ...
Manuel Arenaz, Pedro Amoedo, Juan Touriño