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CIDM
2007
IEEE
14 years 2 months ago
Efficient Kernel-based Learning for Trees
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
CGF
2010
179views more  CGF 2010»
13 years 10 months ago
Binary Orientation Trees for Volume and Surface Reconstruction from Unoriented Point Clouds
Given a complete unoriented point set, we propose a binary orientation tree (BOT) for volume and surface representation, which roughly splits the space into the interior and exter...
Yi-Ling Chen, Bing-Yu Chen, Shang-Hong Lai, Tomoyu...
CORR
2010
Springer
186views Education» more  CORR 2010»
13 years 10 months ago
Color Image Compression Based On Wavelet Packet Best Tree
In Image Compression, the researchers' aim is to reduce the number of bits required to represent an image by removing the spatial and spectral redundancies. Recently discrete...
Gajanan K. Kharate, Varsha H. Patil
AROBOTS
2011
13 years 5 months ago
Human motion database with a binary tree and node transition graphs
— Database of human motion has been widely used for recognizing human motion and synthesizing humanoid motions. In this paper, we propose a data structure for storing and extract...
Katsu Yamane, Yoshifumi Yamaguchi, Yoshihiko Nakam...
ICCV
2011
IEEE
12 years 10 months ago
Decision Tree Fields
This paper introduces a new formulation for discrete image labeling tasks, the Decision Tree Field (DTF), that combines and generalizes random forests and conditional random fiel...
Sebastian Nowozin, Carsten Rother, Shai Bagon, Ban...