We present a primal sub-gradient method for structured SVM optimization defined with the averaged sum of hinge losses inside each example. Compared with the mini-batch version of the Pegasos algorithm for the structured case. which deals with a single structure from each of multiple examples. our algorithm considers multiple structures from a single example in one update. https://www.pomyslnaszycie.com/up-in-smoke-thorax-fr-fleece-welding-hoodie-black-black-for-sale/