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CVPR
2005
IEEE
14 years 9 months ago
Combining Object and Feature Dynamics in Probabilistic Tracking
Objects can exhibit different dynamics at different scales, and this is often exploited by visual tracking algorithms. A local dynamic model is typically used to extract image fea...
Leonid Taycher, John W. Fisher III, Trevor Darrell
ICML
2010
IEEE
13 years 8 months ago
The Elastic Embedding Algorithm for Dimensionality Reduction
We propose a new dimensionality reduction method, the elastic embedding (EE), that optimises an intuitive, nonlinear objective function of the low-dimensional coordinates of the d...
Miguel Á. Carreira-Perpiñán
ICDE
2006
IEEE
194views Database» more  ICDE 2006»
14 years 8 months ago
The Gauss-Tree: Efficient Object Identification in Databases of Probabilistic Feature Vectors
In applications of biometric databases the typical task is to identify individuals according to features which are not exactly known. Reasons for this inexactness are varying meas...
Alexey Pryakhin, Christian Böhm, Matthias Sch...
SSD
2007
Springer
150views Database» more  SSD 2007»
14 years 1 months ago
Online Amnesic Summarization of Streaming Locations
Abstract. Massive data streams of positional updates become increasingly difficult to manage under limited memory resources, especially in terms of providing near real-time respons...
Michalis Potamias, Kostas Patroumpas, Timos K. Sel...
ICCAD
1994
IEEE
119views Hardware» more  ICCAD 1994»
13 years 11 months ago
Adaptive cut line selection in min-cut placement for large scale sea-of-gates arrays
We present a new min-cut based placement algorithm for large scale sea-of-gates arrays. In the past all such algorithms used a xed cut line sequence that is determined before min...
Kazuhiro Takahashi, Kazuo Nakajima, Masayuki Terai...