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» Computing LTS Regression for Large Data Sets
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ICPR
2008
IEEE
15 years 12 months ago
Transductive optimal component analysis
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...
Yuhua Zhu, Yiming Wu, Xiuwen Liu, Washington Mio
161
Voted
CORR
2010
Springer
279views Education» more  CORR 2010»
15 years 5 months ago
Mining Frequent Itemsets Using Genetic Algorithm
In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm...
Soumadip Ghosh, Sushanta Biswas, Debasree Sarkar, ...
HCI
2009
15 years 3 months ago
Sign Language Recognition: Working with Limited Corpora
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...
Helen Cooper, Richard Bowden
WOSP
2010
ACM
16 years 11 days ago
Reducing performance non-determinism via cache-aware page allocation strategies
Performance non-determinism in computer systems complicates evaluation, use, and even development of these systems. In performance evaluation via benchmarking and simulation, nond...
Michal Hocko, Tomás Kalibera
RECOMB
2006
Springer
16 years 5 months ago
Efficient Enumeration of Phylogenetically Informative Substrings
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...
Stanislav Angelov, Boulos Harb, Sampath Kannan, Sa...