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Finally, max pooling using SPM is used to construct the global image feature that converts an image or a bounding box to a single vector.
In order to validate the above theory, we propose an adaptive pooling scheme which combines max pooling and average pooling using the sparsity degree α: {s}_j=alpha underset{iin {R}_j}{ max }{a}_i+left(1hbox alpha right)frac{1}{n}{displaystyle sum_{iin {R}_j}}{a}_i (14).
We then use improved sparse coding spatial pyramid matching (ScSPM), which extracts dense SIFT descriptor and cell-structured LBP (cLBP) as the local features, that generates global feature via weighted sparse coding and max pooling using multi-scale pyramid kernel, and classifies the images by a linear support vector machine algorithm.
cDNA synthesis was performed with individual RNA samples (no pooling) using Superscript Double-Stranded cDNA Synthesis kits (Invitrogen Ltd., Paisley, UK).
Lysis buffer (50 mM Tris-HCl, pH 8, 10 mM EDTA, 1% SDS, protease inhibitor cocktail, 1 mM PMSF, 20 mM butyrate) was added to ∼200 µl to each frozen sample before pooling using siliconized pipette tips.
All data pooling, using Meta-Disc 1.4 software, was based on the standard Der Simonian Laird random-effects model [ 22].
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