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» Feature Space Trajectory Methods for Active Computer Vision
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ICPR
2004
IEEE
16 years 1 months ago
Shape Retrieval using Concavity Trees
y trees are well-known abstract structures. This paper proposes a new shape-based image retrieval method based on concavity trees. The proposed method has two main components. The...
Mohamed Kamel, Ossama El Badawy
BMVC
2000
15 years 1 months ago
Probabilistic PCA and ICA Subspace Mixture Models for Image Segmentation
High-dimensional data, such as images represented as points in the space spanned by their pixel values, can often be described in a significantly smaller number of dimensions than...
Dick de Ridder, Josef Kittler, Robert P. W. Duin
ICPR
2008
IEEE
15 years 6 months ago
Learning a discriminative sparse tri-value transform
Simple binary patterns have been successfully used for extracting feature representations for visual object classification. In this paper, we present a method to learn a set of d...
Zhenhua Qu, Guoping Qiu, Pong Chi Yuen
CVPR
2010
IEEE
15 years 5 months ago
Face Recognition Based on Image Sets
We introduce a novel method for face recognition from image sets. In our setting each test and training example is a set of images of an individual’s face, not just a single ima...
Hakan Cevikalp, Bill Triggs
CVPR
2011
IEEE
14 years 7 months ago
What You Saw is Not What You Get: Domain Adaptation Using Asymmetric Kernel Transforms
In real-world applications, “what you saw” during training is often not “what you get” during deployment: the distribution and even the type and dimensionality of features...
Brian Kulis, Kate Saenko, Trevor Darrell