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» Kernels for Semi-Structured Data
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ICML
2009
IEEE
14 years 9 months ago
Semi-supervised learning using label mean
Semi-Supervised Support Vector Machines (S3VMs) typically directly estimate the label assignments for the unlabeled instances. This is often inefficient even with recent advances ...
Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou
DSD
2009
IEEE
148views Hardware» more  DSD 2009»
14 years 3 months ago
SIMD Architectural Enhancements to Improve the Performance of the 2D Discrete Wavelet Transform
—The 2D Discrete Wavelet Transform (DWT) is a time-consuming kernel in many multimedia applications such as JPEG2000 and MPEG-4. The 2D DWT consists of horizontal filtering alon...
Asadollah Shahbahrami, Ben H. H. Juurlink
IPPS
2009
IEEE
14 years 3 months ago
Compact graph representations and parallel connectivity algorithms for massive dynamic network analysis
Graph-theoretic abstractions are extensively used to analyze massive data sets. Temporal data streams from socioeconomic interactions, social networking web sites, communication t...
Kamesh Madduri, David A. Bader
XIMEP
2005
ACM
174views Database» more  XIMEP 2005»
14 years 2 months ago
NaXDB - Realizing Pipelined XQuery Processing in a Native XML Database System
Supporting queries and modifications on XML documents is a challenging task, and several related approaches exist. When implementing query and modification languages efficientl...
Jens Hündling, Jan Sievers, Mathias Weske
WABI
2001
Springer
162views Bioinformatics» more  WABI 2001»
14 years 1 months ago
A Simple Hyper-Geometric Approach for Discovering Putative Transcription Factor Binding Sites
A central issue in molecular biology is understanding the regulatory mechanisms that control gene expression. The recent flood of genomic and postgenomic data opens the way for co...
Yoseph Barash, Gill Bejerano, Nir Friedman