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» Support Vector Machines: Theory and Applications
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EUROPAR
2006
Springer
15 years 9 months ago
Surrounding Theorem: Developing Parallel Programs for Matrix-Convolutions
Computations on two-dimensional arrays such as matrices and images are one of the most fundamental and ubiquitous things in computational science and its vast application areas, bu...
Kento Emoto, Kiminori Matsuzaki, Zhenjiang Hu, Mas...
TCSV
2008
139views more  TCSV 2008»
15 years 5 months ago
Trajectory-Based Anomalous Event Detection
Abstract--During the last years, the task of automatic event analysis in video sequences has gained an increasing attention among the research community. The application domains ar...
Claudio Piciarelli, Christian Micheloni, Gian Luca...
CVPR
2008
IEEE
16 years 8 months ago
A Parallel Decomposition Solver for SVM: Distributed dual ascend using Fenchel Duality
We introduce a distributed algorithm for solving large scale Support Vector Machines (SVM) problems. The algorithm divides the training set into a number of processing nodes each ...
Tamir Hazan, Amit Man, Amnon Shashua
KDD
2007
ACM
177views Data Mining» more  KDD 2007»
16 years 6 months ago
On-board analysis of uncalibrated data for a spacecraft at mars
Analyzing data on-board a spacecraft as it is collected enables several advanced spacecraft capabilities, such as prioritizing observations to make the best use of limited bandwid...
Benyang Tang, Kiri Wagstaff, Rebecca Castañ...
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 6 months ago
Local decomposition for rare class analysis
Given its importance, the problem of predicting rare classes in large-scale multi-labeled data sets has attracted great attentions in the literature. However, the rare-class probl...
Junjie Wu, Hui Xiong, Peng Wu, Jian Chen