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CVPR
2010
IEEE
16 years 2 months ago
Parametric Dimensionality Reduction by Unsupervised Regression
We introduce a parametric version (pDRUR) of the recently proposed Dimensionality Reduction by Unsupervised Regression algorithm. pDRUR alternately minimizes reconstruction error ...
Miguel Carreira-perpinan, Zhengdong Lu
ECCV
2010
Springer
15 years 11 months ago
Fast Approximate Nearest Neighbor Methods for Non-Euclidean Manifolds with Applications to Human Activity Analysis in Videos
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
Rizwan Chaudhry, Yuri Ivanov
ICIP
2001
IEEE
16 years 8 months ago
Hierarchical watermarking depending on local constraints
In this paper we propose a new watermarking technique where the watermark is embedded according to two keys. The first key is used to embed a code bit in a block of pixels. The se...
Christopher D. Coltman, Adrian G. Bors
ICRA
2009
IEEE
137views Robotics» more  ICRA 2009»
16 years 1 months ago
Unsupervised learning of 3D object models from partial views
— We present an algorithm for learning 3D object models from partial object observations. The input to our algorithm is a sequence of 3D laser range scans. Models learned from th...
Michael Ruhnke, Bastian Steder, Giorgio Grisetti, ...
ICC
2007
IEEE
125views Communications» more  ICC 2007»
16 years 22 days ago
A Novel Concept: Message Driven Frequency Hopping (MDFH)
—Frequency hopping systems have been widely used in military communications to prevent hostile jamming, interception and detection. In traditional frequency hopping (FH) systems,...
Qi Ling, Tongtong Li, Zhi Ding