Sciweavers

108 search results - page 4 / 22
» Combining Metric Features in Large Collections
Sort
View
ICDM
2009
IEEE
156views Data Mining» more  ICDM 2009»
13 years 5 months ago
Scalable Classification in Large Scale Spatiotemporal Domains Applied to Voltage-Sensitive Dye Imaging
We present an approach for learning models that obtain accurate classification of large scale data objects, collected in spatiotemporal domains. The model generation is structured ...
Igor Vainer, Sarit Kraus, Gal A. Kaminka, Hamutal ...
ISCC
2006
IEEE
169views Communications» more  ISCC 2006»
14 years 1 months ago
Hierarchical Anomaly Detection in Distributed Large-Scale Sensor Networks
In this paper, an anomaly detection approach that fuses data gathered from different nodes in a distributed wireless sensor network is proposed and evaluated. The emphasis of this...
Vasilis Chatzigiannakis, Symeon Papavassiliou, Mar...
KDD
1995
ACM
129views Data Mining» more  KDD 1995»
13 years 11 months ago
Feature Extraction for Massive Data Mining
Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...
V. Seshadri, Raguram Sasisekharan, Sholom M. Weiss
ICDAR
2003
IEEE
14 years 1 months ago
Features for Word Spotting in Historical Manuscripts
For the transition from traditional to digital libraries, the large number of handwritten manuscripts that exist pose a great challenge. Easy access to such collections requires a...
Toni M. Rath, R. Manmatha
CCGRID
2007
IEEE
14 years 2 months ago
Exploiting Lustre File Joining for Effective Collective IO
Lustre is a parallel file system that presents high aggregated IO bandwidth by striping file extents across many storage devices. However, our experiments indicate excessively wid...
Weikuan Yu, Jeffrey S. Vetter, Shane Canon, Song J...