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WSCG
2004
143views more  WSCG 2004»
13 years 6 months ago
View Dependent Stochastic Sampling for Efficient Rendering of Point Sampled Surfaces
In this paper we present a new technique for rendering very large datasets representing point-sampled surfaces. Rendering efficiency is considerably improved by using stochastic s...
Sushil Bhakar, Liang Luo, Sudhir P. Mudur
BMCBI
2006
165views more  BMCBI 2006»
13 years 4 months ago
Improved variance estimation of classification performance via reduction of bias caused by small sample size
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...
CIBCB
2006
IEEE
13 years 6 months ago
A New Hybrid Approach for Unsupervised Gene Selection
In recent years, unsupervised gene (feature) selection has become an integral part of microarray analysis because of the large number of genes and complexity in biological systems....
Young Bun Kim, Jean Gao
JCB
2008
94views more  JCB 2008»
13 years 4 months ago
Prioritize and Select SNPs for Association Studies with Multi-Stage Designs
Large-scale whole genome association studies are increasingly common, due in large part to recent advances in genotyping technology. With this change in paradigm for genetic studi...
Jing Li
ICPR
2010
IEEE
13 years 2 months ago
Improved Mandarin Keyword Spotting Using Confusion Garbage Model
This paper presents an improved acoustic keyword spotting (KWS) algorithm using a novel confusion garbage model in Mandarin conversational speech. Observing the KWS corpus, we foun...
Shilei Zhang, Zhiwei Shuang, Qin Shi, Yong Qin