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Learning With Dynamic Group Sparsity

Learning With Dynamic Group Sparsity

Learning With Dynamic Group Sparsity. Junzhou Huang Xiaolei Huang Dimitris Metaxas Rutgers University Lehigh University Rutgers University. Outline. Problem: Applications where the useful information is very less compared with the given data

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345 views • 25 slides
Learning With Dynamic Group Sparsity

Learning With Dynamic Group Sparsity

Learning With Dynamic Group Sparsity. Junzhou Huang Xiaolei Huang Dimitris Metaxas Rutgers University Lehigh University Rutgers University. Outline. Problem: Applications where the useful information is very less compared with the given data

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315 views • 23 slides
Automatic Image Annotation Using Group Sparsity

Automatic Image Annotation Using Group Sparsity

Automatic Image Annotation Using Group Sparsity. Shaoting Zhang 1 , Junzhou Huang 1 , Yuchi Huang 1 , Yang Yu 1 , Hongsheng Li 2 , Dimitris Metaxas 1 1 CBIM, Rutgers University, NJ 2 IDEA Lab, Lehigh University, PA. Introductions.

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563 views • 21 slides
Automatic Image Annotation Using Group Sparsity

Automatic Image Annotation Using Group Sparsity

Automatic Image Annotation Using Group Sparsity. Shaoting Zhang 1 , Junzhou Huang 1 , Yuchi Huang 1 , Yang Yu 1 , Hongsheng Li 2 , Dimitris Metaxas 1 1 CBIM, Rutgers University, NJ 2 IDEA Lab, Lehigh University, PA. Introductions.

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352 views • 21 slides
Automatic Image Annotation Using Group Sparsity

Automatic Image Annotation Using Group Sparsity

Automatic Image Annotation Using Group Sparsity. Shaoting Zhang 1 , Junzhou Huang 1 , Yuchi Huang 1 , Yang Yu 1 , Hongsheng Li 2 , Dimitris Metaxas 1 1 CBIM, Rutgers University, NJ 2 IDEA Lab, Lehigh University, PA. Introductions.

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233 views • 21 slides
Jiajia Luo , Wei Wang, and Hairong Qi The University of Tennessee, Knoxville

Jiajia Luo , Wei Wang, and Hairong Qi The University of Tennessee, Knoxville

Group Sparsity and Geometry Constrained Dictionary Learning for Action Recognition from Depth Maps. Jiajia Luo , Wei Wang, and Hairong Qi The University of Tennessee, Knoxville Presented by: Marwan Torki. Abstract. Approach: Sparse Coding and TPM (Temporal pyramid matching).

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399 views • 13 slides

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