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NIPS
2007
13 years 9 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
ICCV
2009
IEEE
15 years 26 days ago
Optimal Correspondences from Pairwise Constraints
Correspondence problems are of great importance in computer vision. They appear as subtasks in many applications such as object recognition, merging partial 3D reconstructions a...
Olof Enqvist, Klas Josephson, Fredrik Kahl
ICIP
2000
IEEE
14 years 8 days ago
Switched Error Concealment and Robust Coding Decisions in Scalable Video Coding
This work introduces two complementary techniques to improve the packet loss resilience of scalable video coding systems. First, a “switch per-pixel” error concealment (SPEC) ...
Rui Zhang, Shankar L. Regunathan, Kenneth Rose
ICASSP
2011
IEEE
12 years 11 months ago
Automatic target classification in SAR images using MPCA
Multilinear analysis provides a powerful mathematical framework for analyzing synthetic aperture radar (SAR) images resulting from the interaction of multiple factors like sky lum...
Tristan Porges, Gérard Favier
PCM
2005
Springer
209views Multimedia» more  PCM 2005»
14 years 1 months ago
Virtual Object Placement in Video for Augmented Reality
This article describes a method to insert virtual objects into a real video stream based on feature tracking and camera pose estimation from a set of single-camera video frames. To...
Jong Seung Park, Mee Young Sung, Sung-Ryul Noh