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ICCV
2011
IEEE
14 years 4 months ago
Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
We present a hierarchical model that learns image decompositions via alternating layers of convolutional sparse coding and max pooling. When trained on natural images, the layers ...
Matthew D. Zeiler, Graham W. Taylor, Rob Fergus
CVPR
2012
IEEE
13 years 7 months ago
Video from nearly still: An application to low frame-rate gait recognition
In this paper, we propose a temporal super resolution approach for quasi-periodic image sequence such as human gait. The proposed method effectively combines examplebased and reco...
Naoki Akae, Al Mansur, Yasushi Makihara, Yasushi Y...
JMLR
2011
167views more  JMLR 2011»
14 years 11 months ago
Logistic Stick-Breaking Process
A logistic stick-breaking process (LSBP) is proposed for non-parametric clustering of general spatially- or temporally-dependent data, imposing the belief that proximate data are ...
Lu Ren, Lan Du, Lawrence Carin, David B. Dunson
CEC
2009
IEEE
15 years 11 months ago
Evolutionary image segmentation based on multiobjective clustering
— In the fields of image processing and recognition, image segmentation is an important basic technique in which an image is partitioned into multiple regions (sets of pixels). ...
Shinichi Shirakawa, Tomoharu Nagao
ECCV
2004
Springer
15 years 10 months ago
Stitching and Reconstruction of Linear-Pushbroom Panoramic Images for Planar Scenes
Abstract. This paper proposes a method to integrate multiple linearpushbroom panoramic images. The integration can be performed in real time. The technique is feasible on planar sc...
Chu-Song Chen, Yu-Ting Chen, Fay Huang