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ICPR
2004
IEEE
16 years 7 months ago
Selective Sampling Based on the Variation in Label Assignments
In this paper, a new selective sampling method for the active learning framework is presented. Initially, a small training set ? and a large unlabeled set ? are given. The goal is...
Piotr Juszczak, Robert P. W. Duin
CHI
2009
ACM
16 years 7 months ago
Scientometric analysis of the CHI proceedings
The CHI conference has grown rapidly over the last 26 years. We present a quantitative analysis on the countries and organizations that contribute to its success. Only 7.8 percent...
Christoph Bartneck, Jun Hu
RECOMB
2004
Springer
16 years 6 months ago
Chromosomal breakpoint re-use in the inference of genome sequence rearrangement
In order to apply gene-order rearrangement algorithms to the comparison of genome sequences, Pevzner and Tesler [9] bypass gene finding and ortholog identification, and use the or...
David Sankoff, Phil Trinh
PAKDD
2009
ACM
209views Data Mining» more  PAKDD 2009»
16 years 3 months ago
Approximate Spectral Clustering.
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...
DCC
2010
IEEE
16 years 1 months ago
On the Systematic Measurement Matrix for Compressed Sensing in the Presence of Gross Errors
Inspired by syndrome source coding using linear error-correcting codes, we explore a new form of measurement matrix for compressed sensing. The proposed matrix is constructed in t...
Zhi Li, Feng Wu, John Wright