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» Complex Salient Regions for Computer Vision Problems
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117
Voted
CVPR
2009
IEEE
16 years 10 months ago
Automatic Reconstruction of Cities from Remote Sensor Data
In this paper, we address the complex problem of rapid modeling of large-scale areas and present a novel approach for the automatic reconstruction of cities from remote sensor da...
Charalambos Poullis (CGIT/IMSC/USC), Suya You (Uni...
156
Voted
CVPR
2009
IEEE
16 years 10 months ago
Shared Kernel Information Embedding for Discriminative Inference
Latent Variable Models (LVM), like the Shared-GPLVM and the Spectral Latent Variable Model, help mitigate over- fitting when learning discriminative methods from small or modera...
David J. Fleet, Leonid Sigal, Roland Memisevic
117
Voted
ICCV
2009
IEEE
16 years 8 months ago
Multi-Scale Object Detection by Clustering Lines
Object detection in cluttered, natural scenes has a high complexity since many local observations compete for object hypotheses. Voting methods provide an efficient solution to ...
Bjorn Ommer, Jitendra Malik
CVPR
2000
IEEE
16 years 5 months ago
Fluid Structure and Motion Analysis from Multi-spectrum 2D Cloud Image Sequences
In this paper we present a novel approach to estimate and analyze 3D uid structure and motion of clouds from multi-spectrum 2D cloud image sequences. Accurate cloud-top structure ...
Lin Zhou, Chandra Kambhamettu, Dmitry B. Goldgof
CVPR
2003
IEEE
16 years 5 months ago
An Efficient Approach to Learning Inhomogeneous Gibbs Model
Inhomogeneous Gibbs model (IGM) [4] is an effective maximum entropy model in characterizing complex highdimensional distributions. However, its training process is so slow that th...
Ziqiang Liu, Hong Chen, Heung-Yeung Shum