1915 search results - page 170 / 383 » Computing LTS Regression for Large Data Sets |
141
Voted
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
We propose a new transductive learning algorithm for learning optimal linear representations that utilizes unlabeled data. We pose the problem of learning linear representations a...
140
Voted
CORR
2010
Springer
15 years 4 months ago
2010
Springer
In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm...
131
Voted
HCI
2009
15 years 1 months ago
2009
The availability of video format sign language corpora limited. This leads to a desire for techniques which do not rely on large, fully-labelled datasets. This paper covers various...
144
Voted
WOSP
2010
ACM
15 years 10 months ago
2010
ACM
Performance non-determinism in computer systems complicates evaluation, use, and even development of these systems. In performance evaluation via benchmarking and simulation, nond...
136
Voted
RECOMB
2006
Springer
16 years 4 months ago
2006
Springer
We study the problem of enumerating substrings that are common amongst genomes that share evolutionary descent. For example, one might want to enumerate all identical (therefore co...