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» Optimizing Data Transformations for Classification Tasks
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VLSISP
2008
100views more  VLSISP 2008»
13 years 7 months ago
Memory-constrained Block Processing for DSP Software Optimization
Digital signal processing (DSP) applications involve processing long streams of input data. It is important to take into account this form of processing when implementing embedded ...
Ming-Yung Ko, Chung-Ching Shen, Shuvra S. Bhattach...
ICPP
1998
IEEE
13 years 11 months ago
A memory-layout oriented run-time technique for locality optimization
Exploiting locality at run-time is a complementary approach to a compiler approach for those applications with dynamic memory access patterns. This paper proposes a memory-layout ...
Yong Yan, Xiaodong Zhang, Zhao Zhang
NN
2000
Springer
161views Neural Networks» more  NN 2000»
13 years 7 months ago
How good are support vector machines?
Support vector (SV) machines are useful tools to classify populations characterized by abrupt decreases in density functions. At least for one class of Gaussian data model the SV ...
Sarunas Raudys
KES
2005
Springer
14 years 26 days ago
Using Relevance Feedback to Learn Both the Distance Measure and the Query in Multimedia Databases
Much of the world’s data is in the form of time series, and many other types of data, such as video, image, and handwriting, can easily be transformed into time series. This fact...
Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
14 years 7 months ago
Extracting shared subspace for multi-label classification
Multi-label problems arise in various domains such as multitopic document categorization and protein function prediction. One natural way to deal with such problems is to construc...
Shuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye