Canonical Correlation Analysis: An Overview with Application to Learning Methods Export

@article{citeulike:2860238, abstract = {We present a general method using kernel canonical correlation analysis to learn a semantic representation to web images and their associated text. The semantic space provides a common representation and enables a comparison between the text and images. In the experiments, we look at two approaches of retrieving images based on only their content from a text query. We compare orthogonalization approaches against a standard cross-representation retrieval technique known as the generalized vector space model.}, address = {Cambridge, MA, USA}, author = {Hardoon, David R. and Szedmak, Sandor R. and Shawe taylor, John R.}, citeulike-article-id = {2860238}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1119696.1119703}, citeulike-linkout-1 = {http://dx.doi.org/10.1162/0899766042321814}, citeulike-linkout-2 = {http://www.mitpressjournals.org/doi/pdf/10.1162/0899766042321814?cookieSet=1}, doi = {10.1162/0899766042321814}, issn = {0899-7667}, journal = {Neural Comput.}, keywords = {analysis, canonical, cca, correlation}, month = {December}, number = {12}, pages = {2639--2664}, posted-at = {2008-07-09 02:03:43}, priority = {0}, publisher = {MIT Press}, title = {Canonical Correlation Analysis: An Overview with Application to Learning Methods}, url = {http://dx.doi.org/10.1162/0899766042321814}, volume = {16}, year = {2004} }

TY - JOUR ID - citeulike:2860238 L3 - citeulike-article-id:2860238 N2 - We present a general method using kernel canonical correlation analysis to learn a semantic representation to web images and their associated text. The semantic space provides a common representation and enables a comparison between the text and images. In the experiments, we look at two approaches of retrieving images based on only their content from a text query. We compare orthogonalization approaches against a standard cross-representation retrieval technique known as the generalized vector space model. IS - 12 JF - Neural Comput. SN - 0899-7667 AD - Cambridge, MA, USA EP - 2664 TI - Canonical Correlation Analysis: An Overview with Application to Learning Methods PB - MIT Press VL - 16 SP - 2639 KW - analysis KW - canonical KW - cca KW - correlation AU - Hardoon, David AU - Szedmak, Sandor AU - Shawe taylor, John PY - 2004/12// UR - http://dx.doi.org/10.1162/0899766042321814 ER -