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CVPR
2010
IEEE
16 years 2 months ago
Pareto Discriminant Analysis
Linear Discriminant Analysis (LDA) is a popular tool for multiclass discriminative dimensionality reduction. However, LDA suffers from two major problems: (1) It only optimizes th...
Karim Abou-Moustafa, Fernando De la Torre, Frank F...
GRID
2007
Springer
15 years 10 months ago
Optimizing multiple queries on scientific datasets with partial replicas
We propose strategies to efficiently execute a query workload, which consists of multiple related queries submitted against a scientific dataset, on a distributed-memory system in...
Li Weng, Ümit V. Çatalyürek, Tahs...
ECCV
2008
Springer
16 years 8 months ago
Saliency Based Opportunistic Search for Object Part Extraction and Labeling
We study the task of object part extraction and labeling, which seeks to understand objects beyond simply identifiying their bounding boxes. We start from bottom-up segmentation of...
Yang Wu, Qihui Zhu, Jianbo Shi, Nanning Zheng
ECCV
2004
Springer
16 years 8 months ago
Transformation-Invariant Embedding for Image Analysis
Abstract. Dimensionality reduction is an essential aspect of visual processing. Traditionally, linear dimensionality reduction techniques such as principle components analysis have...
Ali Ghodsi, Jiayuan Huang, Dale Schuurmans
RECOMB
2003
Springer
16 years 7 months ago
Accurate detection of very sparse sequence motifs
Protein sequence alignments are more reliable the shorter the evolutionary distance. Here, we align distantly related proteins using many closely spaced intermediate sequences as ...
Andreas Heger, Michael Lappe, Liisa Holm