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Publication
157views
5 years 6 months ago
From Semi-Supervised to Transfer Counting of Crowds
Regression-based techniques have shown promising results for people counting in crowded scenes. However, most existing techniques require expensive and laborious data annotation fo...
C. C. Loy, S. Gong, and T. Xiang

Publication
158views
5 years 6 months ago
Constrained Clustering: Effective Constraint Propagation with Imperfect Oracles
While clustering is usually an unsupervised operation, there are circumstances in which we have prior belief that pairs of samples should (or should not) be assigned to the same cl...
X. Zhu, C. C. Loy, and S. Gong

Publication
263views
5 years 11 months ago
Person Re-Identification by Manifold Ranking
Existing person re-identification methods conventionally rely on labelled pairwise data to learn a task-specific distance metric for ranking. The value of unlabelled gallery instan...
Chen Change Loy, Chunxiao Liu, Shaogang Gong
ICCV
2011
IEEE
7 years 8 months ago
Outdoor Human Motion Capture using Inverse Kinematics and von Mises-Fisher Sampling
Human motion capturing (HMC) from multiview image sequences constitutes an extremely difficult problem due to depth and orientation ambiguities and the high dimensionality of the s...
Gerard Pons-Moll, Andreas Baak, Juergen Gall, Laur...
ICASSP
2011
IEEE
7 years 8 months ago
Linear manifold approximation based on differences of tangents
In this paper, we consider the problem of manifold approximation with affine subspaces. Our objective is to discover a set of low dimensional affine subspaces that represents ma...
Sofia Karygianni, Pascal Frossard
ICASSP
2011
IEEE
7 years 8 months ago
Sampling on locally defined principal manifolds
We start with a locally defined principal curve definition for a given probability density function (pdf) and define a pairwise manifold score based on local derivatives of the...
Erhan Bas, Deniz Erdogmus
ICASSP
2011
IEEE
7 years 8 months ago
Approximation of pattern transformation manifolds with parametric dictionaries
The construction of low-dimensional models explaining highdimensional signal observations provides concise and efficient data representations. In this paper, we focus on pattern ...
Elif Vural, Pascal Frossard
TIP
2010
182views more  TIP 2010»
7 years 11 months ago
Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction
We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
Feiping Nie, Dong Xu, Ivor Wai-Hung Tsang, Changsh...
SIAMCO
2010
97views more  SIAMCO 2010»
7 years 11 months ago
Real-Time Nonlinear Optimization as a Generalized Equation
Abstract. We establish results for the problem of tracking a time-dependent manifold arising in realtime optimization by casting this as a parametric generalized equation. We demon...
Victor M. Zavala, Mihai Anitescu
JMLR
2010
186views more  JMLR 2010»
7 years 11 months ago
Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting
We address instance-based learning from a perceptual organization standpoint and present methods for dimensionality estimation, manifold learning and function approximation. Under...
Philippos Mordohai, Gérard G. Medioni
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