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» Dimensionality Reduction for Classification
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124
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ICCV
2003
IEEE
16 years 4 months ago
Images as Bags of Pixels
We propose modeling images and related visual objects as bags of pixels or sets of vectors. For instance, gray scale images are modeled as a collection or bag of (X, Y, I) pixel v...
Tony Jebara
ECCV
2002
Springer
16 years 4 months ago
Principal Component Analysis over Continuous Subspaces and Intersection of Half-Spaces
Abstract. Principal Component Analysis (PCA) is one of the most popular techniques for dimensionality reduction of multivariate data points with application areas covering many bra...
Anat Levin, Amnon Shashua
117
Voted
ICIP
2004
IEEE
16 years 4 months ago
Estimation of mixtures of probabilistic pca with stochastic em for the 3d biplanar reconstruction of scoliotic rib cage
In this paper, we present a robust method for estimating the model parameters in a mixture of probabilistic principal component analyzers. This method is based on the Stochastic v...
François Destrempes, Jacques A. de Guise, M...
134
Voted
ICIP
2004
IEEE
16 years 4 months ago
Robust motion-based image segmentation using fusion
To support real-time tracking of objects in video sequences, there has been considerable effort directed at developing optical flow and general motion-based image segmentation alg...
Michael E. Farmer, Xiaoguang Lu, Hong Chen, Anil K...
123
Voted
ICIP
2004
IEEE
16 years 4 months ago
Practical low bit rate predictive image coder using multi-rate processing and adaptive entropy coding
The modified Differential Pulse Coded Modulation (DPCM) codec with multi-rate processing has been shown to able to code source with monotonically decreasing spectrum efficiently a...
Anna N. Kim, Tor A. Ramstad