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» Complexity Dimensions and Learnability
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MICCAI
2009
Springer
16 years 1 months ago
Accelerating Feature Based Registration Using the Johnson-Lindenstrauss Lemma
We introduce an efficient search strategy to substantially accelerate feature based registration. Previous feature based registration algorithms often use truncated search strategi...
Ayelet Akselrod-Ballin, Davi Bock, R. Clay Reid,...
ICML
2008
IEEE
16 years 19 days ago
Expectation-maximization for sparse and non-negative PCA
We study the problem of finding the dominant eigenvector of the sample covariance matrix, under additional constraints on the vector: a cardinality constraint limits the number of...
Christian D. Sigg, Joachim M. Buhmann
ICML
2004
IEEE
16 years 19 days ago
SVM-based generalized multiple-instance learning via approximate box counting
The multiple-instance learning (MIL) model has been very successful in application areas such as drug discovery and content-based imageretrieval. Recently, a generalization of thi...
Qingping Tao, Stephen D. Scott, N. V. Vinodchandra...
KDD
2008
ACM
199views Data Mining» more  KDD 2008»
16 years 7 days ago
Building semantic kernels for text classification using wikipedia
Document classification presents difficult challenges due to the sparsity and the high dimensionality of text data, and to the complex semantics of the natural language. The tradi...
Pu Wang, Carlotta Domeniconi
RECOMB
2003
Springer
16 years 4 days ago
Finding recurrent sources in sequences
Many genomic sequences and, more generally, (multivariate) time series display tremendous variability. However, often it is reasonable to assume that the sequence is actually gene...
Aristides Gionis, Heikki Mannila