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Domain adaptation between diverse source and target domains is challenging, especially in the real-world visual recognition tasks… Expand MRI is the primary screening tool for patients with myelopathy. The decision to obtain additional imaging, notably spinal… Expand RGB-D sensors have greatly simplified some common challenges in vision and enabled breakthroughs for several tasks. In this paper… Expand Support Vector Machines (SVMs) have been dominant learning techniques for more than ten years, and mostly applied to supervised… Expand Support vector machines (SVMs) and related kernel methods have become widely known tools for text mining tasks such as… Expand For many learning tasks, where data is collected over an extended period of time, one has to cope two problems. The distribution… Expand For many years now, there is a growing interest around ROC curve for characterizing machine learning performances. This is… Expand Overview SVM light is an implementation of Support Vector Machines (SVMs) in C. The main features of the program are the… Expand I propose a common framework that combines three different paradigms in machine learning: generative, discriminative and… Expand We presentresultson a userindependent fully automaticsystemfor real time recognitionof basicemotionalexpressionsfrom video… Expand