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MM
2010
ACM
238views Multimedia» more  MM 2010»
14 years 10 months ago
Supervised manifold learning for image and video classification
This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...
Yang Liu, Yan Liu, Keith C. C. Chan
ECCV
2004
Springer
15 years 11 months ago
Transformation-Invariant Embedding for Image Analysis
Abstract. Dimensionality reduction is an essential aspect of visual processing. Traditionally, linear dimensionality reduction techniques such as principle components analysis have...
Ali Ghodsi, Jiayuan Huang, Dale Schuurmans
92
Voted
ACIVS
2006
Springer
15 years 3 months ago
Dedicated Hardware for Real-Time Computation of Second-Order Statistical Features for High Resolution Images
We present a novel dedicated hardware system for the extraction of second-order statistical features from high-resolution images. The selected features are based on gray level co-o...
Dimitris G. Bariamis, Dimitrios K. Iakovidis, Dimi...
ICIP
2007
IEEE
15 years 11 months ago
Projection onto a Shape Manifold for Image Segmentation with Prior
Image segmentation with shape priors has received a lot of attention over the past years. Most existing work focuses on a linearized shape space with small deformation modes aroun...
Florent Ségonne, Patrick Etyngier, Renaud K...
76
Voted
ICCV
1999
IEEE
15 years 11 months ago
An Integrated Bayesian Approach to Layer Extraction from Image Sequences
This paper describes a Bayesian approach for modeling 3D scenes as a collection of approximately planar layers that are arbitrarily positioned and oriented in the scene. In contra...
Philip H. S. Torr, Richard Szeliski, P. Anandan