SparseCoding.pdf

sparce coding and applications weizhi some examples image denoising image reconstruct image classification object detection importation object retrieval actions detection user recommendation text classification . outline what is sparse linear model how to do? decomposition problem reconstruction problem applications image denoising problem 3d object retrieval what is sparse representation similar to k-means k-means generate class each feature or sample is reconstructed by which class. sparse coding dictionary is similar to class each sample also is constructed by some word from dictionary. what is sparse linear model what is sparse linear model terrence tao proposed that rip constrain. how to do: decomposition problem we only have x and do not know d and a. how to do this problem: k-svd (general) efficient sparse coding algorithm nips 06 online dictionary learning for sparse coding, icml reconstruction problem we have d and x, how to get the a. matching pursuit orthogonal matching pursuit (general) application image denoising object detection 3d model retrieval image denoising training dictionary object detection dictionary 3d object retrieval h penalizes the distance between f and each feature in x experimental results references ansary, t. f., daoudi, m., & vandeborre, j. (n.d.). a bayesian 3d search engine using adaptive views clustering, 129. bengio, s., pereira, f., & strelow, d. (n.d.). group sparse coding, 18. chao, y.-w., yeh, y.-r., chen, y.-w., lee, y.-j., & wang, y.-c. f. (2011). locality-constrained group sparse representation for robust face recognition. 2011 18th ieee international conference on image processing, 761764. doi:10.1109/icip.2011.6116666 gao, y., wang, m., ji, r., wu, x., & dai, q. (2014). 3-d object retrieval with hausdorff distance learning. ieee transactions on industrial electronics, 61(4), 20882098. doi:10.1109/tie.2013.2262760 guoquan, w., yang, z., yanfeng, l., & lifen, w. (2013). an image denoising algorithm based on sparse representation, 36. mairal, j., leordeanu, m., & bach, f. (n.d.). discriminative sparse image models for class-specific edge detection and image interpretation, 114. bach, f., mairal, j., ponce, j., & sapiro, g. (2009a). sparse coding and dictionary learning for image analysis, (september). bach, f., mairal, j., ponce, j., & sapiro, g. (2009b). sparse coding and dictionary learning for image analysis, (september), 119. bach, mairal, ponce, & sapiro. (2009c). dictionary learning. elad, m., & aharon, m. (2006). image denoising via sparse and redundant representations over learned dictionaries. ieee transactions on image processing : a publication of the ieee signal processing society, 15(12), 373645. retrieved from /pubmed/17153947 mairal, j., elad, m., sapiro, g., ens, i., & umr, c. (2006). sparse learned representations for image restoration, 110. bach, f., mairal, j., ponce, j., & sapiro, g. (2009a). sparse coding and dictionary learning for image analysis, (september). bach, f., maira