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ICCD
2004
IEEE
158views Hardware» more  ICCD 2004»
14 years 4 months ago
An Embedded Reconfigurable SIMD DSP with Capability of Dimension-Controllable Vector Processing
A programmable parallel digital signal processor (DSP) core for embedded applications is presented which combines the concepts of single instruction stream over multiple data stre...
Liang Han, Jie Chen, Chaoxian Zhou, Ying Li, Xin Z...
CGF
2005
252views more  CGF 2005»
13 years 7 months ago
Support Vector Machines for 3D Shape Processing
We propose statistical learning methods for approximating implicit surfaces and computing dense 3D deformation fields. Our approach is based on Support Vector (SV) Machines, which...
Florian Steinke, Bernhard Schölkopf, Volker B...
BMCBI
2007
215views more  BMCBI 2007»
13 years 7 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
SSDBM
2006
IEEE
96views Database» more  SSDBM 2006»
14 years 1 months ago
Efficient Query Processing in Arbitrary Subspaces Using Vector Approximations
Hans-Peter Kriegel, Peer Kröger, Matthias Sch...
ICONIP
2008
13 years 9 months ago
An Evaluation of Machine Learning-Based Methods for Detection of Phishing Sites
In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...
Daisuke Miyamoto, Hiroaki Hazeyama, Youki Kadobaya...