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» Computing LTS Regression for Large Data Sets
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PASTE
2010
ACM
14 years 12 months ago
Property-aware program sampling
Monitoring or profiling programs provides us with an understanding for its further improvement and analysis. Typically, for monitoring or profiling, the program is instrumented ...
Harish Narayanappa, Mukul S. Bansal, Hridesh Rajan
CVPR
2009
IEEE
16 years 8 months ago
Shared Kernel Information Embedding for Discriminative Inference
Latent Variable Models (LVM), like the Shared-GPLVM and the Spectral Latent Variable Model, help mitigate over- fitting when learning discriminative methods from small or modera...
David J. Fleet, Leonid Sigal, Roland Memisevic
ECCV
2002
Springer
16 years 3 months ago
Nonlinear Shape Statistics in Mumford-Shah Based Segmentation
We present a variational integration of nonlinear shape statistics into a Mumford?Shah based segmentation process. The nonlinear statistics are derived from a set of training silho...
Christoph Schnörr, Daniel Cremers, Timo Kohlb...
ICML
2008
IEEE
16 years 2 months 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
CHI
2006
ACM
16 years 1 months ago
FaThumb: a facet-based interface for mobile search
In this paper we describe a novel approach for searching large data sets from a mobile phone. Existing interfaces for mobile search require keyword text entry and are not suited f...
Amy K. Karlson, George G. Robertson, Daniel C. Rob...