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CVPR
2010
IEEE
14 years 6 months ago
Sufficient Dimensionality Reduction for Visual Sequence Classification
When classifying high-dimensional sequence data, traditional methods (e.g., HMMs, CRFs) may require large amounts of training data to avoid overfitting. In such cases dimensional...
Alex Shyr, Raquel Urtasun, Michael Jordan
ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
14 years 4 months ago
Efficient Clustering for Orders
Lists of ordered objects are widely used as representational forms. Such ordered objects include Web search results or best-seller lists. Clustering is a useful data analysis tech...
Toshihiro Kamishima, Shotaro Akaho
RT
1998
Springer
14 years 2 months ago
Automatic Calculation of Soft Shadow Textures for Fast, High-Quality Radiosity
We propose a new method for greatly accelerating the computation of complex, detailed shadows in a radiosity solution. Radiosity is computed using a "standard" hierarchi...
Cyril Soler, François X. Sillion
CORR
2006
Springer
146views Education» more  CORR 2006»
13 years 10 months ago
The Haar Wavelet Transform of a Dendrogram
While there is a very long tradition of approximating a data array by projecting row or column vectors into a lower dimensional subspace the direct approximation of a data matrix ...
Fionn Murtagh
BMCBI
2007
128views more  BMCBI 2007»
13 years 10 months ago
Model order selection for bio-molecular data clustering
Background: Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically ...
Alberto Bertoni, Giorgio Valentini