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» A Training Method with Small Computation for Classification
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CVPR
2007
IEEE
14 years 9 months ago
Sparse Kernels for Bayes Optimal Discriminant Analysis
Discriminant Analysis (DA) methods have demonstrated their utility in countless applications in computer vision and other areas of research ? especially in the C class classificat...
Aleix M. Martínez, Onur C. Hamsici
TCBB
2010
77views more  TCBB 2010»
13 years 2 months ago
Multidimensional Profiling of Cell Surface Proteins and Nuclear Markers
Cell membrane proteins play an important role in tissue architecture and cell-cell communication. We hypothesize that segmentation and multidimensional characterization of the dist...
Ju Han, Hang Chang, Kumari L. Andarawewa, Paul Yas...
CIVR
2007
Springer
164views Image Analysis» more  CIVR 2007»
14 years 2 months ago
Inducing a perceptual relevance shape classifier
In this paper, we develop a system to classify the outputs of image segmentation algorithms as perceptually relevant or perceptually irrelevant with respect to human perception. T...
Victoria J. Hodge, John P. Eakins, James Austin
RECOMB
2007
Springer
14 years 8 months ago
Comparative Analysis of Spatial Patterns of Gene Expression in Drosophila melanogaster Imaginal Discs
Determining the precise spatial extent of expression of genes across different tissues, along with knowledge of the biochemical function of the genes is critical for understanding ...
Cyrus L. Harmon, Parvez Ahammad, Ann Hammonds, Ric...
SIAMMAX
2010
224views more  SIAMMAX 2010»
13 years 2 months ago
Robust Approximate Cholesky Factorization of Rank-Structured Symmetric Positive Definite Matrices
Abstract. Given a symmetric positive definite matrix A, we compute a structured approximate Cholesky factorization A RT R up to any desired accuracy, where R is an upper triangula...
Jianlin Xia, Ming Gu