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BMVC
2010
15 years 3 months ago
Iterative Hyperplane Merging: A Framework for Manifold Learning
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
Harry Strange, Reyer Zwiggelaar
ICDM
2007
IEEE
137views Data Mining» more  ICDM 2007»
15 years 11 months ago
Locally Constrained Support Vector Clustering
Support vector clustering transforms the data into a high dimensional feature space, where a decision function is computed. In the original space, the function outlines the bounda...
Dragomir Yankov, Eamonn J. Keogh, Kin Fai Kan
141
Voted
EUROCAST
2003
Springer
130views Hardware» more  EUROCAST 2003»
15 years 10 months ago
A Model of Neural Inspiration for Local Accumulative Computation
This paper explores the computational capacity of a novel local computational model that expands the conventional analogical and logical dynamic neural models, based on the charge ...
José Mira, Miguel Angel Fernández, M...
TCSV
2011
14 years 12 months ago
Background Compensation for Pan-Tilt-Zoom Cameras Using 1-D Feature Matching and Outlier Rejection
This paper proposes an efficient and robust background compensation method for pan-tilt-zoom cameras. The proposed method approximates the relation between consecutive images to a...
Jae Kyu Suhr, Ho Gi Jung, Gen Li, Seung-In Noh, Ja...
144
Voted
OOPSLA
2004
Springer
15 years 10 months ago
The garbage collection advantage: improving program locality
As improvements in processor speed continue to outpace improvements in cache and memory speed, poor locality increasingly degrades performance. Because copying garbage collectors ...
Xianglong Huang, Stephen M. Blackburn, Kathryn S. ...