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» A Novel Approach Towards Automatic Data Distribution
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NIPS
2000
15 years 2 months ago
A Support Vector Method for Clustering
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladi...
IPPS
2006
IEEE
15 years 6 months ago
High-performance computing in remotely sensed hyperspectral imaging: the Pixel Purity Index algorithm as a case study
The incorporation of last-generation sensors to airborne and satellite platforms is currently producing a nearly continual stream of high-dimensional data, and this explosion in t...
Antonio Plaza, David Valencia, Javier Plaza
WWW
2011
ACM
14 years 7 months ago
Parallel boosted regression trees for web search ranking
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal...
164
Voted
NPC
2010
Springer
14 years 11 months ago
Vectorization for Java
Java is one of the most popular programming languages in today’s software development, but the adoption of Java in some areas like high performance computing, gaming, and media p...
Jiutao Nie, Buqi Cheng, Shisheng Li, Ligang Wang, ...
132
Voted
PR
2008
228views more  PR 2008»
15 years 21 days ago
Accurate integration of multi-view range images using k-means clustering
3D modelling finds a wide range of applications in industry. However, due to the presence of surface scanning noise, accumulative registration errors, and improper data fusion, re...
Hong Zhou, Yonghuai Liu