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» A comparative study of two object recognition methods
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ETVC
2008
14 years 11 months ago
Sparse Multiscale Patches for Image Processing
Abstract. This paper presents a framework to define an objective measure of the similarity (or dissimilarity) between two images for image processing. The problem is twofold: 1) de...
Paolo Piro, Sandrine Anthoine, Eric Debreuve, Mich...
CORR
2007
Springer
109views Education» more  CORR 2007»
14 years 9 months ago
Optimal Causal Inference
We consider an information-theoretic objective function for statistical modeling of time series that embodies a parametrized trade-off between the predictive power of a model and...
Susanne Still, James P. Crutchfield, Christopher J...
ICDM
2010
IEEE
122views Data Mining» more  ICDM 2010»
14 years 7 months ago
Learning Preferences with Millions of Parameters by Enforcing Sparsity
We study the retrieval task that ranks a set of objects for a given query in the pairwise preference learning framework. Recently researchers found out that raw features (e.g. word...
Xi Chen, Bing Bai, Yanjun Qi, Qihang Lin, Jaime G....
KDD
2007
ACM
206views Data Mining» more  KDD 2007»
15 years 10 months ago
Automatic labeling of multinomial topic models
Multinomial distributions over words are frequently used to model topics in text collections. A common, major challenge in applying all such topic models to any text mining proble...
Qiaozhu Mei, Xuehua Shen, ChengXiang Zhai
IEEEPACT
2009
IEEE
15 years 4 months ago
Interprocedural Load Elimination for Dynamic Optimization of Parallel Programs
Abstract—Load elimination is a classical compiler transformation that is increasing in importance for multi-core and many-core architectures. The effect of the transformation is ...
Rajkishore Barik, Vivek Sarkar