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» Application of Level Set Methods in Computer Vision
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NIPS
2008
15 years 7 months ago
Natural Image Denoising with Convolutional Networks
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
Viren Jain, H. Sebastian Seung
ICDM
2009
IEEE
126views Data Mining» more  ICDM 2009»
16 years 1 months ago
Convex Non-negative Matrix Factorization in the Wild
Abstract—Non-negative matrix factorization (NMF) has recently received a lot of attention in data mining, information retrieval, and computer vision. It factorizes a non-negative...
Christian Thurau, Kristian Kersting, Christian Bau...
ISCOPE
1999
Springer
15 years 10 months ago
Using Object-Oriented Techniques for Realizing Parallel Architectural Skeletons
The concept of design patterns has recently emerged as a new paradigm in the context of object-oriented design methodology. Similar ideas are being explored in other areas of compu...
Dhrubajyoti Goswami, Ajit Singh, Bruno R. Preiss
CVPR
2006
IEEE
16 years 8 months ago
BoostMotion: Boosting a Discriminative Similarity Function for Motion Estimation
Motion estimation for applications where appearance undergoes complex changes is challenging due to lack of an appropriate similarity function. In this paper, we propose to learn ...
Shaohua Kevin Zhou, Bogdan Georgescu, Dorin Comani...
ECCV
2004
Springer
15 years 12 months ago
Ultrasound Stimulated Vibro-acoustography
ABSTRACT We describe theoretical principles of an imaging modality that uses the acoustic response of an object to a highly localized dynamic radiation force of an ultrasound field...
James F. Greenleaf, Mostafa Fatemi, Marek Belohlav...