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» The RIM Framework for Image Processing
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149
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BMVC
2010
15 years 1 months ago
Background Modelling on Tensor Field for Foreground Segmentation
The paper proposes a new method to perform foreground detection by means of background modeling using the tensor concept. Sometimes, statistical modelling directly on image values...
Rui Caseiro, Jorge Batista, Pedro Martins
199
Voted

Publication
197views
13 years 11 months ago
Convex non-negative matrix factorization for massive datasets
Non-negative matrix factorization (NMF) has become a standard tool in data mining, information retrieval, and signal processing. It is used to factorize a non-negative data matrix ...
C. Thurau, K. Kersting, M. Wahabzada, and C. Bauck...
151
Voted
CVPR
2008
IEEE
16 years 5 months ago
Unifying discriminative visual codebook generation with classifier training for object category recognition
The idea of representing images using a bag of visual words is currently popular in object category recognition. Since this representation is typically constructed using unsupervi...
Liu Yang, Rong Jin, Rahul Sukthankar, Fréd&...
122
Voted
DAGSTUHL
1997
15 years 5 months ago
Ray-Based Data Level Comparisons of Direct Volume Rendering Algorithms
This paper describes and demonstrates the e ectiveness of several metrics for data level comparison of direct volume rendering (DVR) algorithms. The focus is not on speed ups from...
Kwansik Kim, Alex Pang
136
Voted
ICCV
2009
IEEE
1335views Computer Vision» more  ICCV 2009»
16 years 8 months ago
Top-Down Color Attention for Object Recognition
Generally the bag-of-words based image representation follows a bottom-up paradigm. The subsequent stages of the process: feature detection, feature description, vocabulary cons...
Fahad Shahbaz Khan, Joost van de Weijer, Maria Van...