Sciweavers

325 search results - page 13 / 65
» Data Mining Algorithms on the Cell Broadband Engine
Sort
View
KDD
2002
ACM
148views Data Mining» more  KDD 2002»
14 years 8 months ago
Tumor cell identification using features rules
Advances in imaging techniques have led to large repositories of images. There is an increasing demand for automated systems that can analyze complex medical images and extract me...
Bin Fang, Wynne Hsu, Mong-Li Lee
HIPEAC
2009
Springer
13 years 11 months ago
Deriving Efficient Data Movement from Decoupled Access/Execute Specifications
Abstract. On multi-core architectures with software-managed memories, effectively orchestrating data movement is essential to performance, but is tedious and error-prone. In this p...
Lee W. Howes, Anton Lokhmotov, Alastair F. Donalds...
SIGKDD
2010
259views more  SIGKDD 2010»
13 years 2 months ago
Activity recognition using cell phone accelerometers
Mobile devices are becoming increasingly sophisticated and the latest generation of smart cell phones now incorporates many diverse and powerful sensors. These sensors include GPS...
Jennifer R. Kwapisz, Gary M. Weiss, Samuel Moore
KDD
2007
ACM
155views Data Mining» more  KDD 2007»
14 years 8 months ago
Mining templates from search result records of search engines
Metasearch engine, Comparison-shopping and Deep Web crawling applications need to extract search result records enwrapped in result pages returned from search engines in response ...
Hongkun Zhao, Weiyi Meng, Clement T. Yu
KDD
2001
ACM
253views Data Mining» more  KDD 2001»
14 years 8 months ago
GESS: a scalable similarity-join algorithm for mining large data sets in high dimensional spaces
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...
Jens-Peter Dittrich, Bernhard Seeger