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144
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ICML
2008
IEEE
16 years 4 months ago
Topologically-constrained latent variable models
In dimensionality reduction approaches, the data are typically embedded in a Euclidean latent space. However for some data sets this is inappropriate. For example, in human motion...
Raquel Urtasun, David J. Fleet, Andreas Geiger, Jo...
110
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Subspace pursuit method for kernel-log-linear models
This paper presents a novel method for reducing the dimensionality of kernel spaces. Recently, to maintain the convexity of training, loglinear models without mixtures have been u...
Yotaro Kubo, Simon Wiesler, Ralf Schlüter, He...
128
Voted
DAGM
2005
Springer
15 years 9 months ago
A Method for Fast Search of Variable Regions on Dynamic 3D Point Clouds
The paper addresses the region search problem in three-dimensional (3D) space. The data used is a dynamically growing point cloud as it is typically gathered with a 3D-sensing devi...
Eric Wahl, Gerd Hirzinger
99
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Evaluation of Distance Based Amplitude panning for spatial audio
Distance-Based Amplitude Panning (DBAP) has recently been proposed as a new technique for panning sound sources in two and three dimensional spaces spaces. In this paper, DBAP is ...
Dimitar Kostadinov, Joshua D. Reiss, Valeri Mladen...
147
Voted
ICRA
2005
IEEE
111views Robotics» more  ICRA 2005»
15 years 9 months ago
Single-Query Entropy-Guided Path Planning
Motion planning for robots with many degrees of freedom requires the exploration of an exponentially large configuration space. Single-query motion planners restrict exploration ...
Brendan Burns, Oliver Brock